SentiWordNet & Dialog Systems


sentiwordnet.isti.cnr.it {related:}

Notes:

SentiWordNet is a lexical resource for opinion mining, which assigns to each synset of WordNet three sentiment scores.

Resources:

  • emnlp2016.net .. conference on empirical methods in natural language processing
  • liwc.wpengine.com .. the gold standard in computerized text analysis
  • wndomains.fbk.eu .. wordnet-affect is an extension of wordnet domains, including a subset of synsets suitable to represent affective concepts correlated with affective words

Wikipedia:

References:

See also:

100 Best GitHub: WordNet | 100 Best Sentiment Analysis Videos |AlchemyAPI 2013 | ConceptNet | eDrama (Virtual Drama) | JAPE (Java Annotation Patterns Engine) | N-gram & Tag Clouds | SemEval & Metaphors | Sentence Splitter 2011 | Sentiment Analysis & Dialog Systems | Sentiment Analysis Tools (Open Source) & Dialog SystemsStanford NLP & Dialog Systems | Stemmer & Dialog Systems | WordNet & Dialog Systems 2011 | WordNet & Dialog Systems 2012 | WordNet & Dialog Systems 2013 | WordNet & Dialog Systems 2014


Verbal indicators of psychological distress in interactive dialogue with a virtual human D DeVault, K Georgila, R Artstein, F Morbini… – Proceedings of …, 2013 – researchgate.net … classification results that suggest the potential for automatic assessment of psychological distress in individual interactions with a virtual human dialogue system. Page 9. References Andrea Esuli Stefano Baccianella and Fabrizio Sebas- tiani. 2010. Sentiwordnet 3.0: An … Cited by 22 Related articles All 14 versions

An Annotated Corpus of Film Dialogue for Learning and Characterizing Character Style. MA Walker, GI Lin, J Sawyer – LREC, 2012 – lrec.elra.info … University of California Santa Cruz Natural Language and Dialogue Systems Lab, Computer Science Dept. … We extract different sets of features using external sources such as LIWC and SentiWordNet as well as using our own written scripts. … Cited by 14 Related articles All 10 versions

SimSensei Kiosk: A virtual human interviewer for healthcare decision support D DeVault, R Artstein, G Benn, T Dey, E Fast… – Proceedings of the …, 2014 – dl.acm.org … Keywords virtual humans; dialogue systems; nonverbal behavior … In our current exploratory approach, we use SentiWordNet 3.0 [2], a lexical sentiment dictionary, to assign valence to individual words spoken by users (as recognized by the ASR). … Cited by 75 Related articles All 12 versions

Towards Assessing Students’ Prior Knowledge from Tutorial Dialogues D Stefanescu, V Rus… – … Data Mining 2014, 2014 – educationaldatamining.org … Also, their work was in the context of a spoken dialogue system, while ours focuses on a text/chat-based … totalIC (total Information Content of the dialogue: explained below), totalIC_per_word, positiveness (text positiveness computed based on SentiWordNet: explained … Cited by 2 Related articles All 5 versions

Sentiment Analysis for Dynamic User Preference Inference in Spoken Dialogue Systems GV des Vignes – pdfs.semanticscholar.org … Indeed, current spoken dialogue systems are mostly domain-specific, using rather static informa- tion from experts and knowledge bases … Among all, SentiWordnet [10] analyses relationships like antonymy, hyponymy and/or hy- peronymy to give a triplet value (objective, positive …

A Demonstration of Dialogue Processing in SimSensei Kiosk F Morbini, D DeVault, K Georgila, R Artstein… – 15th Annual Meeting of …, 2014 – aclweb.org … edu Abstract This demonstration highlights the dia- logue processing in SimSensei Kiosk, a virtual human dialogue system that con- ducts interviews … We use SentiWordNet 3.0 (Baccianella et al., 2010), a lexical sentiment dictionary, to assign valence to individual words spoken … Related articles All 15 versions

Non-intrusive assessment of learners’ prior knowledge in dialogue-based intelligent tutoring systems V Rus, D ?tef?nescu – Smart Learning Environments, 2016 – slejournal.springeropen.com … Furthermore, their work was in the context of a spoken dialogue system while in our case we focus on a chat-based/typed-text-based conversational ITS. … totalIC_per_word. positiveness: text positiveness computed based on SentiWordNet. negativeness: text negativeness. … Cited by 1 Related articles All 3 versions

Evaluating EmotiBlog robustness for sentiment analysis tasks J Fernández, E Boldrini, JM Gómez… – … on Application of …, 2011 – Springer … first step of SA consists in building lexical resources of affect, such as WordNet Affect (Strapparava and Valitutti, 2004), SentiWordNet (Esuli and … Tokuhisa (2008) proposed a data-oriented method for inferring the emotion of a speaker conversing with a dialogue system from the … Cited by 9 Related articles All 13 versions

A methodology to design human-like embodied conversational agents Z Ales, GD Duplessis, O ?erban… – … Workshop on Human- …, 2012 – hal.archives-ouvertes.fr … This study is divided into five different sections. Section 2 draws some links with related work, with particular attention on ECAs, affective computing and dialogue systems. … 2 Embodied Conversational Agents, Affective Computing and Dialogue Systems … Cited by 9 Related articles All 6 versions

Analysis of modifier structure for emotion expressions LC Yu, KR Lai – … Summit and Conference (APSIPA), 2014 Asia- …, 2014 – ieeexplore.ieee.org … for sentiment analysis [9]. These emotion lexicons include ANEW (Affective norms for English words) [15], WordNet-Affect [16] and SENTIWORDNET [17], which … used several linguistic features and dialog features (eg, dialog turns) for emotion recognition in a dialog system [14]. … Related articles All 2 versions

Chatting to Personalize and Plan Cultural Itineraries. A Sorgente, N Brancati, C Giannone… – UMAP …, 2013 – art.torvergata.it … Information Systems Frontiers 11(3) (July 2009) 241–256 11. Esuli, A., Sebastiani, F.: Sentiwordnet: A publicly available lexical resource for opinion mining. … Stent, A., et al, JD: The commandtalk spoken dialogue system. In: Proceedings of ACL’99. (1999) 20. … Cited by 1 Related articles All 10 versions

Damping sentiment analysis in online communication: discussions, monologs and dialogs M Thelwall, K Buckley, G Paltoglou, M Skowron… – … on Intelligent Text …, 2013 – Springer … As an example of the latter, dialog systems have been developed that react differently to users depending on the sentiment expressed … 529–535 (2003) 2. Baccianella, S., Esuli, A., Sebastiani, F.: SentiWordNet 3.0: An enhanced lexical resource for sentiment analysis and … Cited by 23 Related articles All 15 versions

The role of affect analysis in dialogue act identification N Novielli, C Strapparava – IEEE Transactions on Affective …, 2013 – ieeexplore.ieee.org … goal of a given utterance [2] (eg asking for information, stating facts, expressing opinions, agreeing or disagreeing with the interlocutor) and there is a large number of applications that could benefit from automatic DA annotation, such as dialogue systems, blog analysis … Cited by 5 Related articles All 9 versions

Fusion of Smile, Valence and NGram features for automatic affect detection O Serban, G Castellano, A Pauchet… – … ACII), 2013 Humaine …, 2013 – ieeexplore.ieee.org … In interactive systems dealing with spoken language and more particularly in affective dialogue systems, the transcribed part of the oral … Another database, used especially for opinion and valence classification, is SentiWordNet [3] which is the result of automatic annotation of all … Cited by 1 Related articles All 5 versions

On Constructing a Chinese Task-Oriental Subjectivity Lexicon X Xu, J Tao, Y Li – Workshop on Chinese Lexical Semantics, 2013 – Springer … Dialogue System has been shown to benefit from the detection of attitude and feelings already. … Cognitive Emotion 6, 169–200 (1992b) 9. Esuli, A., Sebastiani, F.: SentiWordNet: A publicly Available Lexical Resource for Opi- nion Mining. … Related articles All 6 versions

All the World’s a Stage: Learning Character Models from Film. GI Lin, MA Walker – AIIDE, 2011 – aaai.org … Grace I. Lin and Marilyn A. Walker Natural Language and Dialogue Systems Lab, Computer Science Dept. … Polarity: Positive and negative polarity are determined by using SentiWordNet 3.0 (ref: http://sentiwordnet.isti.cnr.it/). … Cited by 19 Related articles All 9 versions

Predicting humor response in dialogues from TV sitcoms D Bertero, P Fung – 2016 IEEE International Conference on …, 2016 – ieeexplore.ieee.org … For each word we extract the positive and negative sentiment scores from SentiWordNet [19]. … In future work we plan to integrate humor generation and response prediction into a dialog system with the objective for a more empathetic human-machine interaction. 5783 Page 5. … Related articles All 2 versions

Affective interaction with a companion robot for hospitalized children: a linguistically based model for emotion detection M Le Tallec, JY Antoine, J Villaneau… – 5th Language and …, 2011 – hal.univ-brest.fr … This is why the emotional lexicon built by adults (WordNet Affect (Strapparava and Valitutti, 2004), SentiWordNet (Esuli and Sebastiani … Influence of contextual information in emotion annotation for spoken dialogue systems, Speech Communication, 50 (2008), 416-433 Cowie R … Cited by 3 Related articles All 10 versions

Detection and integration of affective feedback into distributed interactive systems O ?erban – 2013 – Citeseer … we proposed three different approaches: an emo- tion detection method based on Self Organizing Maps, a valence classifier based on multi-modal features and Support Vector Machines, and a technique to resolve conflicts into a well known affective dictionary (SentiWordNet). … Cited by 2 Related articles All 9 versions

Identification of Speakers and Scenes from Movie Dialogue A Kundu – 2013 – jadunivdspace.jdvu.ac.in … out. Wordnet and SentiWordnet 3.0 based features of dialogue turns were used. Chapter 5 describes JU_CSE, a temporal annotation system devised for TempEval-3. … This corpus is aimed at training chat oriented dialog systems with the dialogue data. … Related articles All 3 versions

A Survey On Emotion Detection Techniques using Text in Blogposts R Hirat, N Mittal – International Bulletin of Mathematical Research, 2015 – academia.edu … Various kinds of the Human centered communication systems are there such as dialogue systems, automatic answering systems and human like … 16], lexical affinity based on similarity of contextsthe basis for the construction of WordNet Affect [17] or SentiWordNet [18], detection … Cited by 1 Related articles

Emotiword: Affective lexicon creation with application to interaction and multimedia data N Malandrakis, A Potamianos, E Iosif… – Internatinoal Workshop …, 2011 – Springer … Results show that domain-independent models perform very well for certain tasks, eg, for frustration detection in spoken dialogue systems. Page 3. … SemEval, pp. 422–425 (2007) 5. Esuli, A., Sebastiani, F.: Sentiwordnet: A publicly available lexical resource for opinion mining. … Cited by 6 Related articles All 9 versions

Sentiment-Annotated Lexicon Construction For An Urdu Text Based Sentiment Analyzer. ZS Afraz, A Muhammad… – Pakistan Journal of …, 2011 – search.ebscohost.com … This polarity information is usually represented as either positive, or negative or neutral. For example, SentiWordNet (Andreevskaia and Bergler, 2006), use triplets [positive, negative, objectives], with minimum value 0.0 and maximum 1.0. … spoken dialogue systems. … Cited by 4 Related articles

Surprise and human-agent interactions C Clavel – Review of Cognitive Linguistics, 2015 – ingentaconnect.com … In particular, in the dialog system application, Kumar et al. … Baccianella, S., Esuli, A., & Sebastiani, F. (2010). Sentiwordnet 3.0: An enhanced lexical re- source for sentiment analysis and opinion mining. Language resources and evaluation con- ference (LREC). Valletta, Malta. … Cited by 2 Related articles All 3 versions

Recent developments in the study of cognitive processing of emotionally arousing words M Iza, J Ezquerro – Cognitive Linguistic Studies, 2015 – ingentaconnect.com … Likewise, dialogue systems, mixed-initiative planning systems, or systems that learn from observation could also benefit from such an approach (Dickinson, Brew … class assigns the class label to each word, while the WordNet Affect lists updated using the SentiWordNet are also … Related articles All 2 versions

Predicting personality traits using multimodal information F Alam, G Riccardi – Proceedings of the 2014 ACM Multi Media on …, 2014 – dl.acm.org … in different domains and by using differ- ent modalities such as text [5], speech [2] and facial expres- sions [4]. The domains include personality of the blogger [8], dialogue system, social media … These resources include NRC lexicon [15], WordNet-Affect[18], SentiWordNet [3] and … Cited by 7 Related articles All 4 versions

Sentiment Analysis of Twitter data using Hybrid Method of Support Vector Machine and Ant Colony Optimization J Kaur, SS Sehra, SK Sehra – International Journal of …, 2016 – search.proquest.com … Sentiment analysis finds application in systems that present summarization of reviews, dialogue systems, analysis of media applications. … Esuli and Sebastiani [11] developed a resource containing lexicons to be used for classification- “SentiWordNet”. …

The role of affect in the computational modeling of natural language CO Alm – Language and Linguistics Compass, 2012 – Wiley Online Library … for computational linguistics in advancing core language technologies (such as speech synthesis, speech recognition, dialog systems, question answering … As an example, Esuli and Sebastiani (2006) developed SentiWordNet with numerical scores for positive, negative, and … Cited by 4 Related articles

Character Modeling through Dialogue for Expressive Natural Language Generation G Lin – 2016 – escholarship.org … scripts from the IMSDb website. A derived corpus, Movie-Triples [Serban et al., 12 Page 27. 2015b], was created to build end-to-end dialogue systems with recurrent neural networks (RNN) and n-gram models. It contains dialogue of 3 turns between …

A Brief Review on Sentiment Analysis N Raghuvanshi, JM Patil – iceeot.org … products, movies, politicians, etc., improving customer relation models, detecting happiness and well-being, and improving automatic dialogue systems. … The SentiWordNet is used which is based scheme with two different linguistic feature selections comprising of adjectives … Related articles

Bilingual and cross domain politics analysis RA Jean-Valere Cossu, AM Mena… – Avances en la …, 2014 – rcs.cic.ipn.mx … 3. Baccianella S., Esuli A., and Sebastiani F. SentiWordNet 3.0: an enhanced lexical resource for sentiment analysis and opinion mining In … 14. Fabbrizio GD, Tur G and Hakkani-Tür D 2004 Bootstrapping spoken dialogue systems with data reuse Proceedings of the 5th SIGdial … Cited by 1 Related articles All 4 versions

Towards Empathetic Human-Robot Interactions P Fung, D Bertero, Y Wan, A Dey, RHY Chan… – arXiv preprint arXiv: …, 2016 – arxiv.org … In the past couple of decades, interactive dialog systems have been designed as software programs either for the desktop, embedded in an enterprise solution, as cloud services, or as mobile applications. They would have a synthesized voice. … Related articles All 5 versions

Valence, arousal and dominance estimation for english, german, greek, portuguese and spanish lexica using semantic models E Palogiannidi, E Iosif, P Koutsakis… – Proceedings of …, 2015 – researchgate.net … [19] J. Liscombe, G. Riccardi, and D. Hakkani-Tur, “Using context to improve emotion detection in spoken dialog systems,” in Proc. of Interspeech, 2005. [20] A. Esuli and F. Sebastiani, “SentiWordNet: A publicly available lexical resource for opinion mining.” in Proc. … Cited by 3 Related articles All 4 versions

Statistical Dialog Management for Health Interventions U Yasavur – 2014 – digitalcommons.fiu.edu … Research endeavors on spoken dialogue systems in the 1990s and 2000s have led to the deployment of commercial spoken dialogue systems (SDS) in microdomains … based on the brief intervention counseling style via spoken dialogue systems. … Related articles All 3 versions

Intensified Sentiment Analysis of Customer Product Reviews Using Acoustic and Textual Features S Govindaraj, K Gopalakrishnan – ETRI Journal, 2016 – etrij.etri.re.kr … Currently, he teaches postgraduate degree courses. His research areas of interest include human–computer interaction and spoken dialogue systems. … We then use SentiWordNet [2] for extracting features such as SWN_positive, SWN_negative, and SWN_objectivity scores. … Related articles All 6 versions

Language Technology Support for Romanian G Rehm, H Uszkoreit – The Romanian Language in the Digital Age, 2012 – Springer … Recognition 5: Speech-based dialogue system On the other side, research in this direction is per- formed at University of Bucharest and at the Institute for Computer Science within the Romanian Academy, Iasi Branch. Most … All 2 versions

A Naïve Bays Classifier to Classify Movie Review N Raghuvanshi, JM Patil – ijarcet.org … products, movies, politicians, etc., improving customer relation models, detecting happiness and well-being, and improving automatic dialogue systems. … The SentiWordNet is used which is based scheme with two different linguistic feature selections comprising of adjectives … Related articles

Linguistic and multilingual issues in virtual worlds and serious games: a general review S Cruz-Lara, A Denis, N Bellalem – The Journal of Virtual Worlds …, 2014 – hal.inria.fr … friendly or apologetic; expressive synthetic speech would for example make more information available to blind and partially sighted people, and enrich their experience of the content; emotion recognition (eg, for spotting angry customers in speech dialog systems); support for … Cited by 1 Related articles All 9 versions

Sentiment analysis: from opinion mining to human-agent interaction C Clavel, Z Callejas – IEEE Transactions on Affective …, 2016 – ieeexplore.ieee.org … Detection of various emotions according to the application for dialog systems [25], [81], [83]. … There are a variety of open source sentiment lexicons in English used by sentiment detection systems: SentiWordNet [96], EmotiWord[103], the LIWC dictionary [101], WordNet Affect [97 … Cited by 9 Related articles All 5 versions

Text-based Multi-Category Emotion Recognition Using Emotional Events Descriptions MV Sintsova – wiki.epfl.ch … 3The examples of sentiment polarity lexicons include GeneralInquirer (http://www.wjh.harvard. edu/˜inquirer/homecat.htm), SentiWordNet (http://sentiwordnet.isti.cnr.it … The first one contained 90 sentences from prototype dialogue system annotated both with polarity and emotions. … Related articles All 2 versions

Linguistic and Multilingual Issues in 3D3C Worlds S Cruz-Lara, A Denis, N Bellalem… – Handbook on 3D3C …, 2016 – Springer … friendly or apologetic; expressive synthetic speech would for example make more information available to blind and partially sighted people, and enrich their experience of the content; emotion recognition (eg, for spotting angry customers in speech dialog systems); support for … Related articles All 3 versions

Extraction of High-Level Semantically Rich Features from Natural Language Text D Bogdanova – ADBIS (2), 2011 – pdfs.semanticscholar.org … speech are a frequent phenomenon of a language [9]. Being able to capture figures of speech, is essential for many applications, such as eg machine translation and dialogue systems. … Sentiwordnet 3.0 : An enhanced lexical resource for sentiment analysis and opinion mining. … Cited by 1 Related articles All 5 versions

Distributional semantic models for affective text analysis N Malandrakis, A Potamianos, E Iosif… – IEEE Transactions on …, 2013 – ieeexplore.ieee.org … respectively. Computational methods are necessary to create or expand an already existing lexicon, creating much larger resources like SentiWordNet [12] and WORDNET AFFECT [13]. However, there are still limitations, eg … Cited by 30 Related articles All 8 versions

Affective Conversational Interfaces M McTear, Z Callejas, D Griol – The Conversational Interface, 2016 – Springer … Sentiment lexicons are the most crucial resource for most sentiment analysis algorithms. SentiWordNet . 14 SentiWordNet assigns to each synset of WordNet three sentiment scores: positivity, negativity, and objectivity (Baccianella et al. 2010). … Related articles

What goes around comes around: learning sentiments in online medical forums V Bobicev, M Sokolova, M Oakes – Cognitive Computation, 2015 – Springer … of affect and social aspects in online communication is preliminary steps for creation of affective dialogue system in which text … Next, we compared the domain-specific lexicon HealthAffect and the general sentiment lexicons SentiWordNet, MPQA, SenticNet3, SentiStrength and … Cited by 4 Related articles All 2 versions

Evaluation of sentiment polarity prediction using a dimensional and a categorical approach I Mure?an, A Stan, M Giurgiu… – Speech Technology and …, 2013 – ieeexplore.ieee.org … [4] Stefano Baccianella, Andrea Esuli and Fabrizio Sebastiani, “SentiWordNet 3.0: An … [16] Z. Wu, H. Meng, Helen, H. Yang, and L. Cai, “Modeling the Expressivity of Input Text Semantics for Chinese Text-to-Speech Synthesis in a Spoken Dialog System”, IEEE Transactions on … Cited by 1 Related articles All 10 versions

Adjective-Based Estimation of Short Sentence’s Impression NTT An, M Hagiwara – KEER2014. Proceedings of the 5th Kanesi …, 2014 – ep.liu.se … We check the polarity orientation of the adjectives and the input using Sentiwordnet (Kerstin, 2008), and Patterns.en library. … The sentiment checking module of Patterns.en and Sentiwordnet (Kerstin, 2008) are used to check the polarity of adjective and input. … Cited by 1 Related articles All 2 versions

The Comprehension of Figurative Language: What Is the Influence of Irony and Sarcasm on NLP Techniques? L Weitzel, RC Prati, RF Aguiar – Sentiment Analysis and Ontology …, 2016 – Springer … sighted users; automatic report generation (possibly multilingual); machine translation; plagiarism detection tools; email understanding and dialogue systems [5]. … The ELiRF [22] team used lexicons (Afinn, Pattern, SentiWordNet, Jeffrey and NRC) as features for training their … Related articles All 4 versions

Mining User-Generated Content for Social Research and Other Applications RE Banchs, CGR Penagos – 2013 – books.google.com … These applica- tions include: automatic categorization, document summarization, question answering, dialogue systems, opinion mining and sentiment analysis, outlier identification and misbehavior detection, and social estimation and forecasting. … All 3 versions

Sentiment Analysis of Social Media Texts SM Mohammad, X Zhu – pdfs.semanticscholar.org … generated in social media. ? Improving automatic dialogue systems ? Improving automatic tutoring systems ? Detecting how people use emotion-bearing-words and … search was for certain named entities ? tweets had to have some words from SentiWordNet 15 Page 16. … Related articles All 4 versions

An Overview of Feature Based Opinion Mining A Golande, R Kamble, S Waghere – The International Symposium on …, 2016 – Springer … The Dictionary Approach uses a pre-built dictionary which defines semantic orientation of words, such as the SentiWordNet, which is … Z. Callejas and R. Lopez_-Cozar,_ “Influence of contextual informa-tion in emotion annotation for spoken dialogue systems,” Speech Commun …

Challenges in Sentiment Analysis SM Mohammad – saifmohammad.com … SentiWordNet was created using supervised classifiers as well as manual annotation (Esuli & Sebastiani, 2006). … Dziurzynski, Lucas, Agrawal, Park, et al., 2013), tracking the stock market (Bollen, Mao, & Zeng, 2011), and improving automatic dialogue systems (Velásquez, 1997 … Related articles All 2 versions

Feeling is Understanding: From Affective to Semantic Spaces E Iosif, A Potamianos – IWCS 2015, 2015 – anthology.aclweb.org … Affective analysis is also useful for other application domains such as dialogue systems (Lee and Narayanan, 2005). … eg, General Inquirer (Stone et al., 1966) and Affective norms for English Words (Bradley and Lang, 1999)) to large lexical networks (eg, SentiWordNet (Esuli and … Related articles All 9 versions

Sentiment strength detection in short informal text M Thelwall, K Buckley, G Paltoglou, D Cai… – Journal of the American …, 2011 – scit.wlv.ac.uk … designed for newspaper headlines, UPAR7 (Chaumartin, 2007), which used linguistic parsing and tagging as well as WordNet, SentiWordNet and WordNet … paper is one that measured multiple emotions and their strengths in informal text associated with a dialog system using a … Cited by 9 Related articles All 3 versions

Adjectival Phrases as the Sentiment Carriers in the Urdu Text Z Syed, M Aslam… – Journal of American …, 2011 – jofamericanscience.org … Some other contributions have tried to use or extend the existing lexicons, eg the extension of WordNet is SentiWordNet. (Hu & Liu, 2005), (Andreevskaia & Bergler, 2005), and (Annett & Kondrak (2008) use WordNet or its extension for sentiment analysis. … Cited by 2 Related articles All 2 versions

Harvesting and summarizing user-generated content for advanced speech-based human-computer interaction J Liu – 2012 – dspace.mit.edu … An intuitive and personalized interface, such as a dialogue system, could be an ideal assistant, which engages a user in a continuous dialogue to garner the user’s interest and capture the user’s intent, and assists the user via speech-navigated interactions. … dialogue system. … Cited by 1 Related articles All 4 versions

Sentiment analysis: Detecting valence, emotions, and other affectual states from text SM Mohammad – Emotion Measurement, 2015 – books.google.com … posts is already widely used to shape brand image, track customer response, and in developing automatic dialogue systems for handling … & Associates, 1966), the NRC Emotion Lexicon (Mohammad & Turney, 2010; Mohammad & Yang, 2011), and SentiWordNet (SWN)(Esuli & … Cited by 20 Related articles All 4 versions

Functional Specification Of Learner And Context Modeling Services D Dagger, V Nitti – wis.ewi.tudelft.nl Page 1. DELIVERABLE D4.1: FUNCTIONAL SPECIFICATION OF LEARNER AND CONTEXT MODELING SERVICES Project Acronym: ImREAL Project Name: Immersive Reflective Experience-based Adaptive Learning Call: FP7-ICT-2009.4.2: Technology-Enhanced Learning … Related articles

Is the polarity of content producers strongly influenced by the results of the event? LI Barbosa Santillán, I Alvarez de Mon Rego – 2013 – oa.upm.es … dialogues to build her own lexicon. Lexicons are also available as linguistic resources on the Internet, some examples being: SentiWordnet [10], NTU Sentiment Dictionary [11]. Pak [12] build automatically sentiment relevant … Cited by 1 Related articles

PATCH 2013: Personal Access to Cultural Heritage L Ardissono, L Aroyo, L Bordoni, J Kay, T Kuflik – Citeseer Page 1. PATCH 2013: Personal Access to Cultural Heritage Liliana Ardissono1, Lora Aroyo2, Luciana Bordoni3, Judy Kay4, Tsvi Kuflik5 1 Dipartimento di Informatica, Università di Torino, Italy liliana.ardissono@unito.it 2 Web … Related articles All 6 versions

Associating targets with SentiUnits: a step forward in sentiment analysis of Urdu text AZ Syed, M Aslam, AM Martinez-Enriquez – Artificial Intelligence Review, 2014 – Springer Page 1. Artif Intell Rev (2014) 41:535–561 DOI 10.1007/s10462-012-9322-6 Associating targets with SentiUnits: a step forward in sentiment analysis of Urdu text Afraz Z. Syed · Muhammad Aslam · Ana Maria Martinez-Enriquez … Cited by 7 Related articles All 8 versions

SongRecommend: From summarization to recommendation S Tata, B Di Eugenio – Natural Language Engineering, 2014 – Cambridge Univ Press Page 1. Natural Language Engineering 20 (1): 29–67. c Cambridge University Press 2012 doi:10.1017/S1351324912000253 29 SongRecommend: From summarization to recommendation SWATI TATA1? and BARBARA DI … Cited by 3 Related articles All 5 versions

Blog Mining and Emotion Argumentation Argumentation SBSBS Bandyopadhyay – 2012 – dspace.jdvu.ac.in … 41 5.2.1 Word Net affect …………… 41 5.2.2 Expansion of Word Net Affect Using SentiWordNet …………… 42 … Page 12. Abstract Page | vi blog documents using the SentiWordNet 1 and Named Entity feature using Stanford NER 2 . The … Related articles All 3 versions

[BOOK] Computational Linguistics and Intelligent Text Processing: 16th International Conference, CICLing 2015, Cairo, Egypt, April 14-20, 2015, Proceedings A Gelbukh – 2015 – books.google.com … 335 Alia El Bolock and Slim Abdennadher A Multi-strategy Approach for Lexicalizing Linked Open Data….. 348 Rivindu Perera and Parma Nand A Dialogue System for Telugu, a Resource-Poor Language….. 364 Mullapudi Ch. … Related articles All 2 versions

Sentic Computing E Cambria, A Hussain – Cognitive Computation, 2015 – Springer … Examples of the second domain will include, but not limited to: computational and psychological models of emotions, bodily manifestations of affect (facial expressions, posture, behavior, physiology), and affective interfaces and applications (dialogue systems, games, learning … Cited by 2 Related articles All 8 versions

Natural Language Processing for Social Media A Farzindar, D Inkpen – Synthesis Lectures on Human …, 2015 – 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 6 Related articles All 5 versions

Sentiment analysis of metaphorical language V Rentoumi – 2012 – icsd.aegean.gr Page 1. Sentiment Analysis of Metaphorical Language A Thesis Submitted To The University Of the Aegean For The Degree Of Doctor Of Philosophy In Computer Science by VASSILIKI RENTOUMI University of the Aegean Department … Related articles All 4 versions

[BOOK] Prominent Feature Extraction for Sentiment Analysis B Agarwal, N Mittal – 2016 – Springer … bodily manifestations of affect (facial expressions, posture, behavior, physiology), and affective interfaces and applications (dialogue systems, games, learning … Knowledge-based approaches depend on the already developed knowledge bases like SentiWordNet, WordNet, etc. … Cited by 6 Related articles All 3 versions

A semantic framework for social search J Stan – 2011 – theses.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 … Cited by 4 Related articles All 4 versions

A Semantic Framework for Social Search S Johann – Citeseer … 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 6 versions

Linked Lexical Knowledge Bases: Foundations and Applications I Gurevych, J Eckle-Kohler… – Synthesis Lectures on …, 2016 – morganclaypool.com … Data-Intensive Text Processing with MapReduce Jimmy Lin and Chris Dyer 2010 Semantic Role Labeling Martha Palmer, Daniel Gildea, and Nianwen Xue 2010 Spoken Dialogue Systems Kristiina Jokinen and Michael McTear 2009 Page 7. v …