Sentiment Analysis & Dialog Systems


Sentiment Analysis & Dialog Systems
Sentiment Analysis 
See also: Chatbots Sentiment Analysis: SimSimi vs. Cleverbot | Sentiment Analysis Tools (Open Source) & Dialog Systems


Sentiment analysis of speech prosody for dialogue adaptation in a diet suggestion program S Crouch, R Khosla – ACM SIGHIT Record, 2012 – dl.acm.org Sentiment Analysis of Speech Prosody for Dialogue … The main motivation for the development of this software is to improve upon a diet-suggestion dialogue system currently being developed and tested in aged-care homes.1 The elderly subject engages in dialogue with a … Related articles

SYSTEMS, METHODS AND DEVICES FOR GENERATING AN ADJECTIVE SENTIMENT DICTIONARY FOR SOCIAL MEDIA SENTIMENT ANALYSIS W Peng, DH Park – US Patent 20,120,259,616, 2012 – freepatentsonline.com … AND DEVICES FOR GENERATING AN ADJECTIVE SENTIMENT DICTIONARY FOR SOCIAL MEDIA SENTIMENT ANALYSIS. … 20100017193, METHOD, SPOKEN DIALOG SYSTEM, AND TELECOMMUNICATIONS TERMINAL DEVICE FOR MULTILINGUAL SPEECH OUTPUT, …

[PDF] from ncsu.edu [PDF] An affect-enriched dialogue act classification model for task-oriented dialogue F Joseph, E Young, C James – 2011 – intellimedia.ncsu.edu … Abstract Dialogue act classification is a central chal- lenge for dialogue systems. … The results point to ways in which dialogue systems can effectively lever- age affective channels to improve dialogue act classification. 1 Introduction … Cited by 2 Related articles All 11 versions

[PDF] from ofai.at Effect of affective profile on communication patterns and affective expressions in interactions with a dialog system M Skowron, M Theunis, S Rank, A Borowiec – Affective Computing and …, 2011 – Springer … Paltoglou, G., Gobron, S., Skowron, M., Thelwall, M., Thalmann, D.: Sentiment analysis of informal textual communication in cyberspace. … Skowron, M., Rank, S., Theunis, M., Sienkiewicz, J.: The good, the bad and the neu- tral: affective profile in dialog system-user communication … Cited by 3 Related articles All 4 versions

[PDF] from ua.es Evaluating EmotiBlog robustness for sentiment analysis tasks J Fernández, E Boldrini, J Gómez… – … and Information Systems, 2011 – Springer … Evaluating EmotiBlog Robustness for Sentiment Analysis Tasks 291 … based on the rules elaborated for semantically distinct verb classes, while Tokuhisa (2008) proposed a data-oriented method for inferring the emotion of a speaker conversing with a dialogue system from the … Related articles All 6 versions

[PDF] from ofai.at The good, the bad and the neutral: affective profile in dialog system-user communication M Skowron, S Rank, M Theunis… – Affective Computing and …, 2011 – Springer … In: Proc. of the 2010 Workshop on Companionable Dialogue Systems, CDS 2010, pp. 31–36. … of Illinois Press, Urbana (1957) 13. Paltoglou, G., Gobron, S., Skowron, M., Thelwall, M., Thalmann, D.: Sentiment analysis of informal textual communication in cyberspace. In: Proc. … Cited by 3 Related articles All 5 versions

[PDF] from ohiolink.edu [PDF] Linguistic Approach to Information Extraction and Sentiment Analysis on Twitter S Nepal – 2012 – etd.ohiolink.edu

[PDF] from stephane-gobron.net [PDF] An interdisciplinary vr-architecture for 3d chatting with non-verbal communication S Gobron, J Ahn, Q Silvestre, D Thalmann, S Rank… – EG VE, 2011 – stephane-gobron.net … This study is complementary to the current paper as they fo- cus on the dialog system and not on the general architecture. 2.3. … [DLP03] presented several feature extraction and scoring approaches for sentiment analysis, such as collocations, negation detection and substrings. … Cited by 3 Related articles All 4 versions

[PDF] from ofai.at No peanuts! affective cues for the virtual bartender M Skowron, H Pirker, S Rank, G Paltoglou, J Ahn… – Proc. of the Florida …, 2011 – aaai.org … Sentiment Classifier (SC) We approach the problem of sentiment analysis from the perspective of a Lexicon-based classifier. … 2004. Affective Dialogue Systems, Tutorial and Re- search Workshop (ADS 2004), LNAI 3068. Springer. Blitzer, J.; Dredze, M.; and Pereira, F. 2007. … Cited by 7 Related articles All 7 versions

[PDF] from uic.edu Sentiment analysis and opinion mining B Liu – Synthesis Lectures on Human Language Technologies, 2012 – morganclaypool.com … Semantic Role Labeling Martha Palmer, Daniel Gildea, Nianwen Xue 2010 Spoken Dialogue Systems Kristiina Jokinen, Michael McTear 2009 … Sentiment Analysis and Opinion Mining Bing Liu www.morganclaypool.com ISBN: 9781608458844 paperback … Cited by 11 Related articles All 4 versions

[PDF] from tees.ac.uk Interaction strategies for an affective conversational agent C Smith, N Crook, S Dobnik, D Charlton, J Boye… – Presence: …, 2011 – MIT Press … emo- tional categories from speech is based on the EmoVoice (Vogt, André, & Bee, 2008) system, and the affective content of utterances’ transcripts is uncovered using a sentiment analysis module (Moilanen … previous dialogue systems, found in non-task-oriented conversations … Cited by 5 Related articles All 13 versions

[PDF] from usc.edu [PDF] Kernel models for affective lexicon creation N Malandrakis, A Potamianos, E Iosif, S Narayanan – Proc. Interspeech, 2011 – ict.usc.edu … schemes. These domain-independent models are evalu- ated on both sentiment analysis and spoken dialogue systems datasets. Finally, we investigate the use of small amounts of in-domain data for adapting the affective models. … Cited by 2 Related articles All 4 versions

[PDF] from psu.edu [PDF] Identifying sarcasm in Twitter: a closer look R González-Ibáñez, S Muresan… – Proceedings of the 49th …, 2011 – Citeseer … Twitter as a Corpus for Sentiment Analysis and Opinion Mining, in ‘Proceedings of the Seventh conference on Interna- tional Language Resources and Evaluation (LREC’10)’ , European Language Resources Associ … Yeah right: Sarcasm recognition for spoken dialogue systems. … Cited by 16 Related articles All 11 versions

[PDF] from cmu.edu Data-driven interaction patterns: Authority and information sharing in dialogue E Mayfield, M Garbus, D Adamson, CP Rosé – Proceedings of AAAI Fall …, 2011 – aaai.org … Planning of discourse strategies has been shown to be effective in real-world dialogue-systems, for repairing mis- understandings (Bohus 2007) or … What is normally a robust and very predictive feature space, in problems such as sentiment analysis, produces fair, at best … Cited by 2 Related articles All 4 versions

[DOC] from wlv.ac.uk [DOC] Sentiment strength detection in short informal text M Thelwall, K Buckley, G Paltoglou, D Cai… – Journal of the American …, 2011 – scit.wlv.ac.uk … One previous study used modified sentiment analysis techniques to predict the strength of human ratings on a scale of 1 to 5 for movie … similar to the current paper is one that measured multiple emotions and their strengths in informal text associated with a dialog system using a … Cited by 4 Related articles All 4 versions

[PDF] from brookes.ac.uk Generating context-sensitive ECA responses to user barge-in interruptions N Crook, D Field, C Smith, S Harding, S Pulman… – Journal on Multimodal …, 2012 – Springer … Our system design there- fore needed to account for phenomena that task-based spo- ken language dialogue systems (SLDs) (eg, [2–4 … These labeled segments are then processed by the Sentiment Analysis (SA) module [26], which tags each for positive, negative or neutral … Related articles All 6 versions

[PDF] from ucsc.edu That’s your evidence?: Classifying Stance in Online Political Debate MA Walker, P Anand, R Abbott, JEF Tree… – Decision Support …, 2012 – Elsevier … corresponding author ,; Rob Abbott a , E-mail the corresponding author ,; Jean E. Fox Tree a ,; Craig Martelly b ,; Joseph King a. a Natural Language and Dialogue Systems Lab, University of California Santa Cruz; b Natural Language … Cited by 2 Related articles All 9 versions

Processing modality and negation R Morante – Proceedings of the 2012 Conference of the North …, 2012 – dl.acm.org … categorisation 7. Processing contradiction and contrast 8. Incorporating negation/modality in parsers 4. Modality and negation in applications 1. Sentiment analysis 2. Recognizing … In the past I have worked on machine translation, dialogue systems and semantic role labeling. …

[PDF] from tuc.gr EmotiWord: Affective Lexicon Creation with Application to Interaction and Multimedia Data N Malandrakis, A Potamianos, E Iosif… – Computational …, 2012 – Springer … Results show that domain-independent models perform very well for certain tasks, eg, for frustration detection in spoken dialogue systems. Page 3. … 1083–1086 (2004) 18. Taboada, M., Brooke, J., Tofiloski, M., Voll, K., Stede, M.: Lexicon-based methods for sentiment analysis. … Related articles All 2 versions

Document sentiment classification by exploring description model of topical terms Y Hu, W Li – Computer Speech & Language, 2011 – Elsevier … Language. Volume 25, Issue 2, April 2011, Pages 386–403. Language and speech issues in the engineering of companionable dialogue systems. Document sentiment classification by exploring description model of topical terms. … Cited by 5 Related articles All 3 versions

[PDF] from aclweb.org A Study of Academic Collaboration in Computational Linguistics with Latent Mixtures of Authors N Johri, D Ramage, D Jurafsky – ACL HLT 2011, 2011 – dl.acm.org … Topic Score Question Answering 0.1335 Sentiment Analysis 0.1399 Dialog Systems 0.1417 Spelling Correction 0.1462 Summarization 0.1511 Table 7: Topics with lowest MaxSim scores (papers are less similar to the established authors’ previous work) … Related articles All 20 versions

Associating targets with SentiUnits: a step forward in sentiment analysis of Urdu text AZ Syed, M Aslam, AM Martinez-Enriquez – Artificial Intelligence Review, 2012 – Springer Page 1. Artif Intell Rev DOI 10.1007/s10462-012-9322-6 Associating targets with SentiUnits: a step forward in sentiment analysis of Urdu text … The results of the experimentation show that, we achieve the state of the art performance in the sentiment analysis of the Urdu text. … Related articles

Words–of–wisdom search system based on user’s desired sentiment K Takaoka, A Nadamoto – … Journal of Business Intelligence and Data …, 2012 – Inderscience … His research interests lie in web computing, search systems and sentiment analysis. … Tokuhisa et al. (2008) propose a method for inferring the emotion of a speaker conversing with a dialog system from the semantic content of the speaker’s utterance. …

[PDF] from uvt.nl Taking turns in flying with a virtual wingman P Nauts, W van Doesburg, E Krahmer… – Human-Computer …, 2011 – Springer … In: Sentiment analysis: Emotion, Metaphor, Ontology and Terminology, Marrakech, Marocco, May 27, pp … of America 123(1), 354–365 (2008) [12] Bulyko, I., Kirchhoff, K., Ostendorf, M., Goldberg, J.: Error-correction detection and response generation in a spoken dialogue system. … Cited by 1 Related articles All 3 versions

[PDF] from archives-ouvertes.fr Affective Interaction with a Companion Robot for Hospitalized Children: a Linguistically based Model for Emotion Detection M Le Tallec, JY Antoine, J Villaneau… – Proceedings of the …, 2011 – hal.archives-ouvertes.fr … Building affective lexicons from specific corpora for automatic sentiment analysis, Proc. LREC’2008. Callejas Z., Lopez-Cozar R. (2008). Influence of contextual information in emotion annotation for spoken dialogue systems, Speech Communication, 50 (2008), 416-433 Cowie … Related articles All 3 versions

[PDF] from psu.edu Detecting levels of interest from spoken dialog with multistream prediction feedback and similarity based hierarchical fusion learning WY Wang, J Hirschberg – Proceedings of the SIGDIAL 2011 Conference, 2011 – dl.acm.org … For Spoken Dialog Systems (SDS), the motivation has been to provide users with improved over-the-phone services by recognizing emotions such as anger and frustration and direct- ing users to a human … 2009. Delta TFIDF: An Improved Feature Space for Sentiment Analysis. … Cited by 3 Related articles All 12 versions

[PDF] from uta.edu A recommender system for assistive environments A Papangelis, G Galatas, F Makedon – Proceedings of the 4th …, 2011 – dl.acm.org … ing techniques and targeted for Assistive Environments, whether as part of a companion (a dialogue system whose purpose … based Recommender System that uses Natural Language Processing tech- niques, such as Automatic Summarization or Sentiment Analysis, to analyze … Cited by 1 Related articles All 2 versions

Modelling Emotional Trajectories of Individuals in an Online Chat M Galik, S Rank – Multiagent System Technologies, 2012 – Springer … Association for Computational Linguistics, Stroudsburg (2004) 8. Liu, B.: Sentiment Analysis and Subjectivity. … Skowron, M., Rank, S., Theunis, M., Sienkiewicz, J.: The Good, the Bad and the Neutral: Affective Profile in Dialog System-User Communication. …

Natural language processing for the web S Quarteroni – Web Engineering, 2012 – Springer … Overview of Natural Language Applications. The most widespread appli- cations of NLP include Information Extraction, Machine Translation, Au- tomatic Summarization, Opinion Mining/Sentiment Analysis, Text catego- rization, (Spoken) Dialogue Systems. Question Answering. … Related articles All 2 versions

[PDF] from ofai.at Affect Bartender—Affective cues and their application in a conversational agent M Skowron, G Paltoglou – Affective Computational Intelligence ( …, 2011 – ieeexplore.ieee.org … partner and accordingly adapt the communication style of any task-specific information to suit the particular situation, sentiment analysis provides this … conversations that consider emotional cues is also a central area of interest in the design of Affective Dialog Systems (ADSs). … Cited by 3 Related articles All 2 versions

[PDF] from iitk.ac.in [PDF] Capturing Emotions in Sentences S Satapathy, S Bhagwani – Retrieved March, 2012 – cse.iitk.ac.in … Sentiment Analysis aims at inferring the sentiment (positive or negative) of the consumer based on his/her review. … Better Computer Interaction System: Many kinds of the communication systems, such as dialogue systems, automatic answering sys- tems and human-like robots … Cited by 1 Related articles All 5 versions

[PDF] from 193.145.233.67 Evaluating the robustness of EmotiBlog for sentiment analysis and opinion mining E Boldrini, J Fernández Martínez, JM Gómez Soriano… – 2011 – 193.145.233.67 … We also have a recent explosion of inter- est in Sentiment Analysis (SA), a subtask of Natural Language Processing (NLP), in charge of … and Tokuhisa (2008) proposed a data-oriented method for in- ferring the emotion of a speaker conversing with a dialogue system from the … Related articles All 8 versions

Method and system for analyzing user-generated content N Bandaru, ED Moyer, S Radhakrishna – US Patent 7,930,302, 2011 – Google Patents … pp. 519-528.* Whittaker, Steve, et al., “Chapter 14: Evaluating Dialogue Strategies in Multimodal Dialogue Systems”, Spoken Multimodal Human- Computer Dialogue in Mobile Environment, Springer Netherlands, © 2005, pp. … Related articles All 5 versions

A computational model for managing emotions and affections in emotional learning platforms and learning experience in emotional computing context G Iovane, S Salerno, P Giordano… – … (CISIS), 2012 Sixth …, 2012 – ieeexplore.ieee.org … III. ASSESMENT BY TEXT AND SENTIMENT ANALYSIS The first work to understand how people express emotions through written text, or how provided text which triggers different emotions, was conducted by Osgood et al. [21] [22]. … Related articles All 3 versions

[PDF] from earth-prints.org [BOOK] Towards Autonomous, Adaptive, and Context-Aware Multimodal Interfaces: Theoretical and Practical Issues: Third COST 2102 International Training School, … A Esposito, AM Esposito, R Martone, VC Müller… – 2011 – books.google.com … Rudy Rotili, Stefano Squartini, and Francesco Piazza Naturalness, Adaptation and Cooperativeness in Spoken Dialogue Systems….. … 436 Ammar Mahdhaoui and Mohamed Chetouani Learning and Knowledge-Based Sentiment Analysis in Movie … All 4 versions

CYBEREMOTIONS–Collective Emotions in Cyberspace J Ahn, A Borowiec, K Buckley, D Cai, A Chmiel… – Procedia Computer …, 2011 – Elsevier … The development of automatic sentiment analysis has made large scale emotion detection and analysis possible using text messages collected … Affect Listeners – artificial dialog systems applied for studying communication processes – are used to investigate the role of emotions …

DATA-DRIVEN ANALYSIS OF EMOTION IN TEXT USING LATENT AFFECTIVE FOLDING AND EMBEDDING JR Bellegarda – Computational Intelligence, 2012 – Wiley Online Library … 2003), e-learning environments (Ryan et al. 2000), educational or entertainment games (Pivec and Kearney 2007), opinion mining and sentiment analysis (Pang and Lee 2008), humor recognition (Mihalcea and Strapparava 2006), and security informatics (Abbasi 2007). … Related articles

Actor level emotion magnitude prediction in text and speech RA Calix, GM Knapp – Multimedia Tools and Applications, 2011 – Springer … In Tokuhisa et al. [24], the authors propose a model for detecting the emotional state of a user that interacts with a dialog system. … Pang and Lee et al. [22] provides a survey of the current methodologies and issues related to opinion mining and sentiment analysis. In Busso et al. … Cited by 2 Related articles

[PDF] from aclweb.org [PDF] Opinion and Suggestion Analysis for Expert Recommendations A Stavrianou, C Brun – EACL 2012, 2012 – newdesign.aclweb.org … 2002. Natural language assistant: A dialog system for online product recommenda- tion. … 2009. Beyond the stars: Exploiting free-text user reviews to improve the accuracy of movie recommendations. In CIKM Workshop on Topic-Sentiment Analysis for Mass Opinion. … Related articles All 7 versions

An enhanced approach for classifying emotions using customized decision tree algorithm S Sriram, X Yuan – Southeastcon, 2012 Proceedings of IEEE, 2012 – ieeexplore.ieee.org … Senti-Strength is a sentiment analysis (opinion mining) program designed to measure the strength of positive and negative sentiment in short texts, which … to create a system that combines the current state-of-the-art 3D facial animation with a spoken dialogue systems, along with … Related articles

The Role of Affect in the Computational Modeling of Natural Language CO Alm – Language and Linguistics Compass, 2012 – Wiley Online Library … another step for computational linguistics in advancing core language technologies (such as speech synthesis, speech recognition, dialog systems, question answering … htm) and the Opinion Lexicon made available by Liu (http://www.cs.uic.edu/~liub/FBS/sentiment-analysis.html … Related articles

Unsupervised lexicon induction for clause-level detection of evaluations H Kanayama, T Nasukawa – Natural Language Engineering, 2012 – Cambridge Univ Press … low (price) Therefore, the task we address here is the clause-level detection of expressions that indicate positive and negative evaluations, in other words, a fine-grained type of opinion mining or sentiment analysis. … Unsupervised learning for sentiment analysis is being studied. … Related articles All 3 versions

Automatic argumentative analysis for interaction mining V Pallotta, R Delmonte – Argument & Computation, 2011 – Taylor & Francis … May 9–12 , Carry-le-Rouet, France. View all references) or provide better capabilities to dialogue systems (Larsson 200245. … View all references) and dialogue systems that engage in argumentation (Chu-Carroll and Carberry 19969. Chu-Carroll, J. and Carberry, S. 1996. … Cited by 2 Related articles

Language Technology Support for Greek M Gavrilidou, M Koutsombogera, A Patrikakos… – The Greek Language in …, 2012 – Springer … Recognition 5: Speech-based dialogue system initially … applications. Small spin-offs are active in applicationareassuchasmedia(TV,Radio,Web)mon- itoring, sentiment analysis and opinion mining etc., fo- cusing on Greek and English content. …

Natural Language Processing in Game Studies Research An Overview JP Zagal, N Tomuro, A Shepitsen – Simulation & Gaming, 2012 – sag.sagepub.com … More specifically, we discuss sentiment analysis or the classification of opin- ions and feelings based on the words used in a text and the … Note that some NLP applications, especially conversational/dialogue systems, involve generation as well as analysis of the language. … Related articles All 4 versions

Assessing plausibility of explanation and meta-explanation in inter-human conflicts BA Galitsky, B Kovalerchuk, JL de la Rosa – Engineering Applications of …, 2011 – Elsevier … Below we will be using the predicate. similar(Object1, Object2, CommonSubObject) which yields the third argument given the first and the second arguments; it is implemented as some adjustment of anti-unification to the dialog systems (Galitsky and Kuznetsov, 2008a). … Related articles All 3 versions

Language Technology Support for French J Mariani, P Paroubek, G Francopoulo, A Max… – The French Language in …, 2012 – Springer … Recognition 7: Basic Architecture for a Spoken Language Dialog System … Whereas the user of a dictation system may usually manually verify and edit the system output, more complex requirements are imposed on a dialog system intended to naturally con- verse with a human. …

[PDF] from jofamericanscience.org [PDF] Adjectival Phrases as the Sentiment Carriers in the Urdu Text ZA Syed, M Aslam… – Journal of American …, 2011 – jofamericanscience.org … Abstract. In this paper we present a comprehensive overview of the structures of the adjectival phrases in the Urdu language with respect to the task of sentiment analysis. … Section 4 briefly presents the state of the art research in the field of sentiment analysis. … Cited by 1 Related articles All 3 versions

[PDF] from umd.edu Crowdsourcing a word–emotion association lexicon SM Mohammad, PD Turney – Computational Intelligence, 2012 – Wiley Online Library … (More applications listed in Section 2.) Thus, over the last decade, there has been considerable work in sentiment analysis, and especially in … 4. 4 Creating dialogue systems that respond appropriately to different emotional states of the user; for example, in emotion-aware games … Cited by 11 Related articles All 2 versions

[PDF] from aclweb.org [PDF] Towards a Computational History of the ACL: 1980–2008 A Anderson, D McFarland, D Jurafsky – Association for Computational …, 2012 – aclweb.org … Theory+ BioNLP: graph/s, medical, edge/s, patient, clinical, vertex, text, report, disease Sentiment Analysis: question/s … rate Anaphora Resolution: resolution, pronoun, anaphora, antecedent, pronouns, coreference, anaphoric Question Answering Dialog System: response/s, you … Cited by 2 Related articles All 15 versions

[PDF] from usc.edu Automatic detection of unnatural word-level segments in unit-selection speech synthesis WY Wang, K Georgila – Automatic Speech Recognition and …, 2011 – ieeexplore.ieee.org … L. van der Plas, O. Lemon, and J. Chevelu, “Predicting how it sounds: Re-ranking dialogue prompts based on TTS quality for adaptive spoken dialogue systems,” in Proc. … [12] J. Martineau and T. Finin, “Delta TF-IDF: An improved feature space for sentiment analysis,” in Proc. … Related articles All 6 versions

Words-of-Wisdom Search Based on User’s Sentiment A Nadamoto, K Takaoka – Intelligent Control and Innovative Computing, 2012 – Springer … 6] propose a method for inferring the emotion of a speaker conversing with a dialog system from the semantic content of his/her utterance. … of the 2nd workshop on computational approaches to subjectivity and sentiment analysis (WASSA2.011), Portland, Oregon, USA, pp 87–95 … Related articles All 2 versions

[PDF] from psu.edu [PDF] CLex: A Lexicon for Exploring Color, Concept and Emotion Associations in Language S Volkova, WB Dolan, T Wilson – EACL 2012, 2012 – Citeseer … set of color-concept-emotion as- sociations (eg, brown-darkness-boredom; red- blood-anger) could be quite useful for sentiment analysis, for example … Our long term goal is to use color-emotion- concept associations to enrich dialog systems with information that will help them … Related articles All 9 versions

[BOOK] Verbal Irony: Theories and Automatic Detection M Fell – 2012 – books.google.com … 10 2.5 Discussion . . . . . 11 3 Automatic detection of irony 13 3.1 “Yeah Right”: Sarcasm Recognition for Spoken Dialogue Systems . . . . . 13 3.1.1 Material . . . . . 13 3.1.2 Method . . . . . … Related articles All 3 versions

[PDF] from tu-muenchen.de Voice and speech analysis in search of states and traits B Schuller – Computer Analysis of Human Behavior, 2011 – Springer … eg, to cope with out-of-vocabulary events. The largely related fields of opinion mining and sentiment analysis in text bear interesting alternatives and variants of methods. Although we are considering the analysis from spoken … Cited by 1 Related articles All 3 versions

[PDF] from pascal-network.org Annotating modality and negation for a machine reading evaluation R Morante, W Daelemans – 2011 – eprints.pascal-network.org … as biomedical and clinical text process- ing (9; 18; 23; 4; 35), opinion mining and sentiment analysis (39), recognizing … factual information, including text summarization, question answering, information extraction, and human-computer interaction in the form of dialogue systems. … Cited by 2 Related articles All 3 versions

Words-of-wisdom search based on multi-dimensional sentiment vector K Takaoka, A Nadamoto – … of the 13th International Conference on …, 2011 – dl.acm.org … Tokuhisa et al.[17] propose a method for inferring the emo- tion of a speaker conversing with a dialog system from the semantic content of the speaker’s … of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis (WASSA2.011), 94:87 95, 2011. … Related articles

A Data-Driven Affective Analysis Framework Toward Naturally Expressive Speech Synthesis JR Bellegarda – Audio, Speech, and Language Processing, …, 2011 – ieeexplore.ieee.org … natural language interfaces [3] to e-learning environments [4], educational or entertainment games [5], opinion mining and sentiment analysis [6], humor … as an integral part of human-computer interaction, at both input and output levels [2]. If a spoken dialog system could reliably … Cited by 1 Related articles All 3 versions

Text categorization methods for automatic estimation of verbal intelligence F Fernández-Martínez, K Zablotskaya… – Expert Systems with …, 2012 – Elsevier … Fig. 2 explains the adaptation process of spoken dialog systems based on verbal intelligence estimation in more detail. … New domains, like Marketing (eg analytical customer relationship management) or Sentiment analysis (eg analysis of movie reviews), start using text mining … Related articles All 2 versions

A novel approach for emotion classification based on fusion of text and speech A Houjeij, L Hamieh, N Mehdi… – … (ICT), 2012 19th …, 2012 – ieeexplore.ieee.org … should acquire to understand the human is the affective aspect of communication [2]. Many interesting applications exist in this domain such as spoken dialogue systems in call … introduced an approach for text sentiment analysis in the context of detecting online hotspot forums. … Related articles

at the Delft University of Technology, the Netherlands. Research interests and expertise of Dr. Hanjalic are in the area of multimedia signal processing, with focus on … A Hanjalic – Online Multimedia Advertising: Techniques and …, 2011 – books.google.com … His research interests include all areas of natural language processing, and in particular machine translation, recommender systems, multimodal dialogue systems, information retrieval, summarization, topic detection, sentiment analysis, and machine learning as applied to …

Question analysis: How Watson reads a clue A Lally, JM Prager, MC McCord… – IBM Journal of …, 2012 – ieeexplore.ieee.org Page 1. Question analysis: How Watson reads a clue A. Lally JM Prager MC McCord BK Boguraev S. Patwardhan J. Fan P. Fodor J. Chu-Carroll The first stage of processing in the IBM Watsoni system is to perform a detailed … Cited by 15 Related articles

[PDF] from ucla.edu [PDF] A framework for analyzing development of argumentation through classroom discussions M Sionti, H Ai, CP Rosé… – … Technologies for Teaching …, 2011 – aqm.gseis.ucla.edu Page 1. A Framework for Analyzing Development of Argumentation through Classroom Discussions *Marietta Siontia,c, Hua Aia, Carolyn Penstein Roséa, Lauren Resnickb aLanguage Technologies Institute-Carnegie Mellon … Cited by 3 Related articles All 9 versions

Automatic detection of speaker state: Lexical, prosodic, and phonetic approaches to level-of-interest and intoxication classification WY Wang, F Biadsy, A Rosenberg… – Computer Speech & …, 2012 – Elsevier … This focus is motivated primarily by Spoken Dialogue System (SDS) applications, such as call centers and tutoring systems, for which it would be useful to recognize a speaker state such as anger or uncertainty in order to improve the user experience as well as task … Cited by 1 Related articles All 2 versions

Content-based retrieval of distributed multimedia conversational data V Pallotta – Information Retrieval and Mining in Distributed …, 2011 – Springer … literature with a different mean- ing than the one discussed in this chapter, namely to refer to what is more commonly called a “man-machine dialogue system” [Teng et … An advanced search feature of Twitter is related to sentiment analysis and opinion mining [Pang and Lee 2008 … Cited by 1 Related articles All 2 versions

[PDF] from kuleuven.be Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge B Schuller, A Batliner, S Steidl, D Seppi – Speech Communication, 2011 – Elsevier … In addition, the large related fields of opinion mining ( [Wilson et al., 2004], [Popescu and Etzioni, 2005], [Kim and Hovy, 2005] and [Missen and Boughanem, 2009]) and sentiment analysis ( [Yi et al., 2003], [Fei et al., 2006], [Godbole, 2007] and [Missen and Boughanem, 2009 … Cited by 55 Related articles All 10 versions

Performance measurement for customer contact centers A Cleasby, R Zacher – US Patent 20,120,215,538, 2012 – freepatentsonline.com … 20090076798, Apparatus and method for post-processing dialogue error in speech dialogue system using multilevel verification, March, 2009, … Collecting statistics from sentiment analysis such as mean sentiment change and sentiment change standard deviation allows contact …

[PDF] from aclweb.org [PDF] How do Negation and Modality Impact on Opinions? FBB Chardon, YMVPN Asher… – … -Propositional Aspects of …, 2012 – aclweb.org … From an NLP perspective, their analy- sis has recently become a new research area. In fact, they can be beneficial to several NLP appli- cations needing deep language understanding, such as sentiment analysis, textual entailment, dialogue systems and question answering. … Related articles All 7 versions

[PDF] from telecom-paristech.fr Bridging the gap between social animal and unsocial machine: A survey of social signal processing A Vinciarelli, M Pantic, D Heylen… – Affective Computing, …, 2012 – ieeexplore.ieee.org … However, social emotions have attracted attention in the Natural Language Processing (NLP) community where they are been the subject of sentiment analysis, the domain aimed at recognition of opinions and subjective feelings in written texts, often collected from social me … Cited by 11 Related articles All 15 versions

[PDF] from ia.ac.cn Multi-domain sentiment classification with classifier combination SS Li, CR Huang, CQ Zong – Journal of Computer Science and …, 2011 – Springer … 18-22, 2008, pp.1073- 1080. [8] Pang B, Lee L. A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts. … [10] McDonald R, Hannan K, Neylon T, Wells M, Reynar J. Struc- tured models for fine-to-coarse sentiment analysis. In Proc. … Cited by 2 Related articles All 15 versions

[PDF] from metu.edu.tr [PDF] TENSE, ASPECT AND MOOD BASED EVENT EXTRACTION FOR SITUATION ANALYSIS AND CRISIS MANAGEMENT ALI HÜRRIYETOGLU – 2012 – etd.lib.metu.edu.tr … As a whole, this system is used in various natural language applications (question answering, dialog systems, database interface systems, etc.). The TimeML specification language mainly deals with event and temporal expressions in natural language texts. … Related articles All 2 versions

[BOOK] Advances in Artificial Intelligence: 10th Mexican International Conference on Artificial Intelligence, MICAI 2011, Puebla, Mexico, November 26-December 4, … I Batyrshin, G Sidorov – 2011 – books.google.com … Page 16. Table of Contents–Part I XVII Contextual Semantic Processing for a Spanish Dialogue System Using Markov Logic….. … Page 17. XVIII Table of Contents–Part I Sentiment Analysis of Urdu Language: Handling Phrase-Level Negation … All 2 versions

[PDF] from uottawa.ca A computational approach to the analysis and generation of emotion in text F Keshtkar – 2011 – ruor.uottawa.ca … Page 2. Abstract Sentiment analysis is a field of computational linguistics involving identification, ex- traction, and classification of opinions, sentiments, and emotions expressed in natural language. … 15 2 Literature Review 16 2.1 Sentiment Analysis and Classification . . . . . … Cited by 1 Related articles All 2 versions

Fact-based question decomposition in DeepQA A Kalyanpur, S Patwardhan… – IBM Journal of …, 2012 – ieeexplore.ieee.org Page 1. Fact-based question decomposition in DeepQA A. Kalyanpur S. Patwardhan BK Boguraev A. Lally J. Chu-Carroll Factoid questions often contain more than one fact or assertion about their answers. Question-answering … Cited by 4 Related articles

System and method for ensuring privacy while tagging information in a network environment SK Gannu, J Jagannath, D Patil – US Patent 8,166,161, 2012 – Google Patents … 30, 2009; http://www.nexidia.com. Ronnie W. Smith, “Performance Measures for the Next Generation of Spoken Natural Language Dialog Systems,” pp. 37-40; http://acl.ldc. … Grimes, Seth, “Sentiment Analysis: Opportunities and Challenges,” Beye Network; Jan. … Related articles All 3 versions

[PDF] from mit.edu Harvesting and summarizing user-generated content for advanced speech-based human-computer interaction J Liu – 2012 – dspace.mit.edu … 34 1.3.3 Dialogue Systems and Language Generation….. 36 … 99 5.2 Linguistic Parsing for Phrase Extraction…..105 5.3 Sentiment Analysis ….. 108 … Related articles All 2 versions

[PDF] from nrc-cnrc.gc.ca [PDF] Measuring degrees of semantic opposition SM Mohammad, BJ Dorr, G Hirst, PD Turney – 2011 – nparc.cisti-icist.nrc-cnrc.gc.ca … r Understanding discourse structure and improving dialogue systems. Opposites … pairs. There is a large amount of work on sentiment analysis and opinion mining aimed at determining the polarity of words (Pang and Lee 2008). … Cited by 2 Related articles

[PDF] from sydney.edu.au [PDF] Recognising Emotions and Sentiments in Text S Mac Kim – 2011 – sydney.edu.au … Table 3.1: Sentiment Analysis research … Computer Interaction IESs Intelligent Educational Systems ISEAR International Survey on Emotion Antecedents and Reactions ITSs Intelligent Tutoring Systems ITSPOKE Intelligent Tutoring SPOKEn dialogue system KBANN Knowledge … Related articles

The role of illocutionary status in the usage conditions of causal connectives and in coherence relations M Stede, A Peldszus – Journal of Pragmatics, 2012 – Elsevier … on applying speech act theory to authentic data has been conducted in the dialogue community, largely in computational linguistics, where taxonomies of dialogue act labels have been proposed to support the construction of automatic natural language dialogue systems. … All 3 versions

[BOOK] Computational Linguistics and Intelligent Text Processing: 13th International Conference, CICLing 2012, New Delhi, India, March 11-17, 2012, Proceedings A Gelbukh – 2012 – books.google.com … The set has been structured into 13 sections: — NLP System Architecture — Lexical Resources — Morphology and Syntax — Word Sense Disambiguation and Named Entity Recognition — Semantics and Discourse — Sentiment Analysis, Opinion Mining, and Emotions … Cited by 1 Related articles All 4 versions

Predicting the Performance of a Financial Instrument GM O’rourke – US Patent 20,120,226,645, 2012 – freepatentsonline.com … SYSTEM AND METHOD FOR ROBUST EVALUATION OF THE USER EXPERIENCE IN AUTOMATED SPOKEN DIALOG SYSTEMS, April, 2010, … of several classification and learning methods disclosed above may be deployed via the emotional sentiment analysis engine 1220 …

Gerald Penn DG Hays – Philosophy of Linguistics, 2012 – books.google.com … Dialogue systems research attempts to recognize plans and intentions in speech transcripts and to respond to them constructively and naturally … Sentiment analysis [Pang and Lee, 2008] looks not at propositional content, but at the manner in which it is expressed to determine an … Related articles All 2 versions

[PDF] from cmu.edu Linguistic structure prediction NA Smith – Synthesis Lectures on Human Language …, 2011 – morganclaypool.com … Semantic Role Labeling Martha Palmer, Daniel Gildea, and Nianwen Xue 2010 Spoken Dialogue Systems Kristiina Jokinen and Michael McTear 2009 Introduction to Chinese Natural Language Processing Kam-Fai Wong, Wenjie Li, Ruifeng Xu, and Zheng-sheng Zhang 2009 … Cited by 10 Related articles All 5 versions

[BOOK] Multilingual Natural Language Processing Applications: From Theory to Practice D Bikel, I Zitouni – 2012 – books.google.com … 14.5.1 System Architectures 14.5.2 Relevance 14.5.3 Redundancy 14.5.4 Multimodal Distillation 14.5.5 Crosslingual Distillation 14.6 Evaluation and Metrics 14.6.1 Evaluation Metrics in the GALE Program 14.7 Summary Chapter 15 Spoken Dialog Systems 15.1 Introduction … Related articles

[PDF] from archives-ouvertes.fr Evaluation de la détection des émotions, des opinions ou des sentiments: dictatute de la majorité ou respect de la diversité d’opinions? JY Antoine, M Le Tallec… – Actes de la conférence …, 2011 – hal.archives-ouvertes.fr … Keywords: Detection of emotion, sentiment analysis, opinion mining, Evaluation: objective measures, test reference, statistical analysis of the results. … CALLEJAS Z., LOPEZ-COZAR R. (2008) Influence of contextual information in emotion annotation for spoken dialogue systems. … Cited by 1 Related articles All 10 versions

[BOOK] Computational Processing of the Portuguese Language: 10th International Conference, PROPOR 2012, Coimbra, Portugal, April 17-20, 2012, Proceedings H Caseli, A Villavicencio, A Teixeira, F Perdigao – 2012 – books.google.com … 235 António Paulo Santos, Hugo Gonçalo Oliveira, Carlos Ramos, and Nuno C. Marques Sentiment Analysis on Twitter Data for Portuguese Language….. … Ricardo Ribeiro and David Martins de Matos Incorporating ASR Information in Spoken Dialog System Con?dence Score … All 2 versions

[PDF] from umd.edu A computational theory of the use-mention distinction in natural language S Wilson – 2011 – drum.lib.umd.edu … following will become possible: • Dialog systems can be designed to recognize when a user is attempting to … This was a prime motivation of this work, and contributions toward creating such a dialog system will be discussed in detail in the next section. … Cited by 1 Related articles All 3 versions

[BOOK] Language and Computers M Dickinson, C Brew, D Meurers – 2012 – books.google.com … advice on how to select a machine learning algorithm and a discussion of how this plays out for a consulting company employing sentiment analysis as part of an opinion-tracking application designed to be used by corporate customers. Chapter 6. Dialog Systems The goals … Related articles

[PDF] from uu.se [PDF] Methods for lean, precision-oriented, and targeted coreference resolution D Lindmark – 2012 – stp.lingfil.uu.se … for Information Extraction (IE), Passage Retrieval, Question Answering (QA), Automatic Sum- marization and Abstracting, Machine Translation (MT) and Dialogue Systems. … part of the algorithm and does not evaluate the effects this may have on the overall sentiment analysis. … Related articles

[PDF] from aclweb.org Modeling Regular Polysemy: A Study on the Semantic Classification of Catalan Adjectives G Boleda, S Schulte im Walde, T Badia – Computational Linguistics, 2012 – MIT Press … The application where adjectives have received most attention, however, is Opinion Mining and Sentiment Analysis (Pang and Lee 2008 … adjectives can also be exploited in advanced NLP tasks and applications such as Question Answering, Dialog Systems, Natural Language … Cited by 1 Related articles All 8 versions

[PDF] from usc.edu [PDF] Natural Language Descriptions of Emotion A Kazemzadeh – 2011 – sail.usc.edu … been made, many open challenges remain. In the field of sentiment analysis and affect recognition, there has been … valence and dominance. Furthermore, evaluation of a user’s satisfaction when using a dialog system often uses a Likert scale survey. User satisfaction can be … Related articles All 2 versions

Discourse Processing M Stede – Synthesis Lectures on Human Language …, 2011 – morganclaypool.com … Spoken Dialogue Systems Kristiina Jokinen and Michael McTear 2009 … Taken together, these descriptions can inform text summarization, information extraction, discourse-aware sentiment analysis, question answering, and the like. KEYWORDS … Cited by 4 Related articles All 2 versions

Natural Language Processing for Historical Texts M Piotrowski – Synthesis Lectures on Human Language …, 2012 – morganclaypool.com … Natural Language Processing for Historical Texts Michael Piotrowski 2012 Sentiment Analysis and Opinion Mining Bing Liu 2012 Discourse Processing Manfred Stede 2011 … Spoken Dialogue Systems Kristiina Jokinen and Michael McTear 2009 … Related articles

[PDF] from uni-saarland.de [PDF] Intrinsic and Extrinsic Approaches to Recognizing Textual Entailment DP der Philosophischen – 2011 – coli.uni-saarland.de … Each utterance in the interpreted version is actually implied or entailed by the utterances in the original conversation. Con- sequently, if we want to build a dialogue system, dealing with this kind of implication or entailment is one of the key challenges. Let alone there … Related articles All 2 versions

[PDF] from dcu.ie Detecting grammatical errors with treebank-induced, probabilistic parsers J Wagner – 2012 – doras.dcu.ie Page 1. Detecting Grammatical Errors with Treebank-Induced, Probabilistic Parsers Joachim Wagner Magister Artium A dissertation submitted in partial fulfilment of the requirements for the award of Doctor of Philosophy to the Dublin City University School of Computing … Cited by 1 Related articles All 3 versions

[PDF] from archives-ouvertes.fr Un cadre de développement sémantique pour la recherche sociale J Stan – 2011 – tel.archives-ouvertes.fr … edge. Numerous applications of such systems exist for example in the area of natural language understanding and dialogue systems, in computer-based educational systems and online learning environments, in systems for computer supported collaboration and recommender … Related articles All 3 versions