Notes:
TextBlob is a Python library for processing textual data.
Resources:
See also:
Natural Language Processing Toolkits
Twitilyzer: Designing an approach for ad-hoc search engine HT Kanakia, DR Kalbande – Communication, Information & …, 2015 – ieeexplore.ieee.org … Keywords—Twitter, Naive Bayes classifier, Top tweets classification, TextBlob. … Using the corpus, they built a se which is able to determine positive, neg sentiments for a document [7]. TextBlob lib insight of how to assign polarity and subjec different feature words [10]. …
Generating Diverse Query Suggestions Using Co-citation Graphs in Scientific Literature Search R Kauffman – dare.uva.nl … Because the performance of various PoS algorithms does not differ much from one to another 1, a readily implemented solution is chosen that is available in the Python library TextBlob 2. This implemen- tation is based on the Brill-tagger [8]. The same holds for the noun-phrase … Related articles
Browsing mixed structured and unstructured data RM Losee – Information processing & management, 2006 – Elsevier Both structured and unstructured data, as well as structured data representing several different types of tuples, may be integrated into a single list for brows. Cited by 15 Related articles All 9 versions
Towards Requirements Reuse: Identifying Similar Requirements with Latent Semantic Analysis and Clustering Algorithms NH Bakar, ZM Kasirun, HA Jalab – umexpert.um.edu.my … sent in stemmed_words: processed_words.append(l.lemmatize(sent,’n’)) freqs=Counter( processed_words) #Counter method to count the occurrence of each lemmatized words x=[] x.append(freqs) wrtr.writerow(x) #sending rows to Excel file Figure 3. Using TextBlob in Python … Related articles All 6 versions
18-549 Project Proposal Carnegie Mellon University A Chawla, A Cho, J Kang, N Seth – 2015 – ece.cmu.edu … Furthermore, Python offers a wide range of libraries such as TextBlob, NLTK (Natural Language Toolkit), and mlpy (Machine Learning Python) that are especially useful for projects related to computational linguistics, natural language processing, and/or sentiment analysis. …
Towards trust-based recommender systems for online software services LS Gallege, DU Gamage, JH Hill, RR Raje – … of the 9th Annual Cyber and …, 2014 – dl.acm.org … ie, the confidence of a given feature with a value between [-1, +1]) and subjectivity (ie, the weight of the expressed polarization with a value between [0, +1]). In the analysis of textual reviews, we have used a publically available text processing tool called the TextBlob [7] for the … Related articles
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Determinants of User Ratings in Online Business Rating Services SA Rahman, T Afrin, D Adjeroh – Social Computing, Behavioral-Cultural …, 2015 – Springer … The review texts were analyzed to calculate sentiment polarity using TextBlob Python library (http://textblob.readthedocs. org/en/dev/). External Factors are those that could affect a user rating but are not under the control of the user. …
A High-Level Review of Mappings in Musical iOS Applications T Kell, MM Wanderley – 2014 – tide-pool.ca … K-Means or similar processes. In order to achieve the first goal, several supervised machine- learning methods were attempted, using both the TextBlob 3 and SciKit-Learn 4 [10] Python libraries. Training data was selected by … Related articles
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Applying Learning to Rank Techniques to Contextual Suggestions J Kiseleva, AM García, Y Luo, J Kamps, M Pechenizkiy… – trec.nist.gov … This task is easily achieved using the built-in functionality in TextBlob7. We presented our solution for the contextual suggestion track where we have formulated it as a LTR problem. … 1. First of all, we did not have the chance to perform 7http://textblob.readthedocs.org/ Page 5. …
LyS at CLEF RepLab 2014: Creating the state of the art in author influence ranking and reputation classification on Twitter D Vilares, M Hermo, MA Alonso, C Gómez-Rodr?guez… – CLEF, 2014 – grupolys.org … 1 http://www.nltk.org/ 2 http://textblob.readthedocs.org/en/dev/ 3 Lemmas are the canonical forms of words. For example, the lemma of ‘walking’ is ‘walk’ Page 4. In this way, we match the words of a text, returning all their psychometric dimensions. … Cited by 1 Related articles All 2 versions
Research and development of big data technologies in the field of human resources I Martín Martínez – 2014 – e-archivo.uc3m.es Page 1. Research and development of Big Data technologies in the field of Human Resources Bachelor’s degree Thesis Author: Ignacio Martín Martínez Supervisor: Dr. José Alberto Hernández Gutiérrez Degree in Telematics Engineering September 2014 Page 2. i Page 3. ii …
Cluscite: Effective citation recommendation by information network-based clustering X Ren, J Liu, X Yu, U Khandelwal, Q Gu… – Proceedings of the 20th …, 2014 – dl.acm.org Page 1. ClusCite: Effective Citation Recommendation by Information Network-Based Clustering Xiang Ren, Jialu Liu, Xiao Yu, Urvashi Khandelwal, Quanquan Gu, Lidan Wang, Jiawei Han University of Illinois at Urbana-Champaign … Cited by 4 Related articles All 2 versions
ClusCite: Effective Citation Recommendation by Information Network-Based Clustering XRJLX Yu, UKQGL Wang, J Han – 2014 – engr.illinois.edu Page 1. ClusCite: Effective Citation Recommendation by Information Network-Based Clustering Xiang Ren Jialu Liu Xiao Yu Urvashi Khandelwal Quanquan Gu Lidan Wang Jiawei Han University of Illinois at Urbana-Champaign … Related articles All 3 versions
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Realistic Dialogue Engine for Video Games CM Rose – 2014 – ir.lib.uwo.ca Page 1. Western University Scholarship@Western University of Western Ontario – Electronic Thesis and Dissertation Repository January 2015 Realistic Dialogue Engine for Video Games Caroline M. Rose The University of Western Ontario …
Extracting Sentiment from Healthcare Survey Data D Georgiou, A MacFarlane, T Russell-Rose – researchgate.net Page 1. Science and Information Conference 2015 July 28-30, 2015 | London, UK 1 | Page www.conference.thesai.org Extracting Sentiment from Healthcare Survey Data: An evaluation of sentiment analysis tools Despo Georgiou …
Similarity of Authors’ Profiles and Its Usage for Reviewers’ Recommendation A Ondrejka, I Zelinka – Semantic and Social Media …, 2014 – ieeexplore.ieee.org … By simple dividing text into words and keeping eg nouns only causes retrieve general domain. The situation when there is the 1https://developers.google.com/translate/ 2http://www.nltk.org/ 3http://textblob.readthedocs.org/en/dev/ 5 Page 4. 0.5 1 1.5 0 1 2 3 4 5 6 dy [years] … Related articles
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