Making large-scale support vector machine learning practical
Advances in kernel methods
BoosTexter: A Boosting-based Systemfor Text Categorization
Machine Learning - Special issue on information retrieval
Mining product reputations on the Web
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Mining the peanut gallery: opinion extraction and semantic classification of product reviews
WWW '03 Proceedings of the 12th international conference on World Wide Web
Measuring praise and criticism: Inference of semantic orientation from association
ACM Transactions on Information Systems (TOIS)
Sentiment analysis: capturing favorability using natural language processing
Proceedings of the 2nd international conference on Knowledge capture
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Tracking point of view in narrative
Computational Linguistics
Three generative, lexicalised models for statistical parsing
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Predicting the semantic orientation of adjectives
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Mining and summarizing customer reviews
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Development and use of a gold-standard data set for subjectivity classifications
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
On Learning Parsimonious Models for Extracting Consumer Opinions
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 3 - Volume 03
New Directions in Question Answering
New Directions in Question Answering
Converting dependency structures to phrase structures
HLT '01 Proceedings of the first international conference on Human language technology research
Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Determining the semantic orientation of terms through gloss classification
Proceedings of the 14th ACM international conference on Information and knowledge management
Using appraisal groups for sentiment analysis
Proceedings of the 14th ACM international conference on Information and knowledge management
Thumbs up?: sentiment classification using machine learning techniques
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Learning extraction patterns for subjective expressions
EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
The sentimental factor: improving review classification via human-provided information
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Extracting semantic orientations of words using spin model
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Determining the sentiment of opinions
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Extracting product features and opinions from reviews
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Recognizing contextual polarity in phrase-level sentiment analysis
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Multi-perspective question answering using the OpQA corpus
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Automatic construction of polarity-tagged corpus from HTML documents
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Fully automatic lexicon expansion for domain-oriented sentiment analysis
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
Smokey: automatic recognition of hostile messages
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Learning trees and rules with set-valued features
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Application of semi-supervised learning to evaluative expression classification
CICLing'06 Proceedings of the 7th international conference on Computational Linguistics and Intelligent Text Processing
Creating subjective and objective sentence classifiers from unannotated texts
CICLing'05 Proceedings of the 6th international conference on Computational Linguistics and Intelligent Text Processing
Coreference Resolution on Blogs and Commented News
DAARC '09 Proceedings of the 7th Discourse Anaphora and Anaphor Resolution Colloquium on Anaphora Processing and Applications
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
Employing personal/impersonal views in supervised and semi-supervised sentiment classification
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Generating focused topic-specific sentiment lexicons
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Hierarchical sequential learning for extracting opinions and their attributes
ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
Sentiment translation through lexicon induction
ACLstudent '10 Proceedings of the ACL 2010 Student Research Workshop
A survey on the role of negation in sentiment analysis
NeSp-NLP '10 Proceedings of the Workshop on Negation and Speculation in Natural Language Processing
Emotional perception of fairy tales: achieving agreement in emotion annotation of text
CAAGET '10 Proceedings of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text
Hierarchical versus flat classification of emotions in text
CAAGET '10 Proceedings of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text
Cross-Domain Contextualization of Sentiment Lexicons
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Sentiment classification and polarity shifting
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Structure-aware review mining and summarization
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
An exploration of features for recognizing word emotion
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Enhanced sentiment learning using Twitter hashtags and smileys
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Chinese sentence-level sentiment classification based on fuzzy sets
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
A multi-dimensional annotation scheme for behaviour in dialogues
IBERAMIA'10 Proceedings of the 12th Ibero-American conference on Advances in artificial intelligence
Journal of the American Society for Information Science and Technology
Sentence-level contextual opinion retrieval
Proceedings of the 20th international conference companion on World wide web
Towards well-grounded phrase-level polarity analysis
CICLing'11 Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part I
Stakeholder detection for online debates
Proceedings of the 12th International Conference on Information Integration and Web-based Applications & Services
Identifying shared leadership in Wikipedia
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A joint model of feature mining and sentiment analysis for product review rating
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Sentiment analysis of citations using sentence structure-based features
HLT-SS '11 Proceedings of the ACL 2011 Student Session
Semantic representation of negation using focus detection
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
An affect-enriched dialogue act classification model for task-oriented dialogue
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Extracting opinion expressions and their polarities: exploration of pipelines and joint models
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Subjectivity and sentiment analysis of modern standard Arabic
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Topic sentiment analysis in twitter: a graph-based hashtag sentiment classification approach
Proceedings of the 20th ACM international conference on Information and knowledge management
Using games with a purpose and bootstrapping to create domain-specific sentiment lexicons
Proceedings of the 20th ACM international conference on Information and knowledge management
Leveraging web 2.0 data for scalable semi-supervised learning of domain-specific sentiment lexicons
Proceedings of the 20th ACM international conference on Information and knowledge management
Sentence-level sentiment polarity classification using a linguistic approach
ICADL'11 Proceedings of the 13th international conference on Asia-pacific digital libraries: for cultural heritage, knowledge dissemination, and future creation
Unsupervised lexicon induction for clause-level detection of evaluations
Natural Language Engineering
Hierarchical approach to emotion recognition and classification in texts
AI'10 Proceedings of the 23rd Canadian conference on Advances in Artificial Intelligence
Unsupervised discovery of discourse relations for eliminating intra-sentence polarity ambiguities
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Deciphering word-of-mouth in social media: Text-based metrics of consumer reviews
ACM Transactions on Management Information Systems (TMIS)
Automatic detection of political opinions in tweets
ESWC'11 Proceedings of the 8th international conference on The Semantic Web
Learning lexical subjectivity strength for chinese opinionated sentence identification
CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I
Modality and negation: An introduction to the special issue
Computational Linguistics
Modality and negation in simt use of modality and negation in semantically-informed syntactic mt
Computational Linguistics
Sentiment strength detection for the social web
Journal of the American Society for Information Science and Technology
Twitter, MySpace, Digg: Unsupervised Sentiment Analysis in Social Media
ACM Transactions on Intelligent Systems and Technology (TIST)
Credit Rating Change Modeling Using News and Financial Ratios
ACM Transactions on Management Information Systems (TMIS)
PIRPO: an algorithm to deal with polarity in portuguese online reviews from the accommodation sector
NLDB'12 Proceedings of the 17th international conference on Applications of Natural Language Processing and Information Systems
Fine-grained focus for pinpointing positive implicit meaning from negated statements
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Context-enhanced citation sentiment detection
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Experiments on hybrid corpus-based sentiment lexicon acquisition
HYBRID '12 Proceedings of the Workshop on Innovative Hybrid Approaches to the Processing of Textual Data
A generalised hybrid architecture for NLP
HYBRID '12 Proceedings of the Workshop on Innovative Hybrid Approaches to the Processing of Textual Data
Collocation polarity disambiguation using web-based pseudo contexts
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
How do negation and modality impact on opinions?
ExProM '12 Proceedings of the Workshop on Extra-Propositional Aspects of Meaning in Computational Linguistics
Who did what to whom?: a contrastive study of syntacto-semantic dependencies
LAW VI '12 Proceedings of the Sixth Linguistic Annotation Workshop
Prior versus contextual emotion of a word in a sentence
WASSA '12 Proceedings of the 3rd Workshop in Computational Approaches to Subjectivity and Sentiment Analysis
A comparative study of feature selection and machine learning techniques for sentiment analysis
Proceedings of the 2012 ACM Research in Applied Computation Symposium
Product Comparison Networks for Competitive Analysis of Online Word-of-Mouth
ACM Transactions on Management Information Systems (TMIS)
Ensemble learning for sentiment classification
CLSW'12 Proceedings of the 13th Chinese conference on Chinese Lexical Semantics
Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics
Generating contextualized sentiment lexica based on latent topics and user ratings
Proceedings of the 24th ACM Conference on Hypertext and Social Media
Sentiment profiles of multiword expressions in test-taker essays: The case of noun-noun compounds
ACM Transactions on Speech and Language Processing (TSLP) - Special issue on multiword expressions: From theory to practice and use, part 2
Music similarity and retrieval
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Keyword-Based Sentiment Mining using Twitter
International Journal of Ambient Computing and Intelligence
Joint learning on sentiment and emotion classification
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Prior and contextual emotion of words in sentential context
Computer Speech and Language
Listening to the crowd: automated analysis of events via aggregated twitter sentiment
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Expert Systems with Applications: An International Journal
Bootstrapping polarity classifiers with rule-based classification
Language Resources and Evaluation
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Many approaches to automatic sentiment analysis begin with a large lexicon of words marked with their prior polarity (also called semantic orientation). However, the contextual polarity of the phrase in which a particular instance of a word appears may be quite different from the word's prior polarity. Positive words are used in phrases expressing negative sentiments, or vice versa. Also, quite often words that are positive or negative out of context are neutral in context, meaning they are not even being used to express a sentiment. The goal of this work is to automatically distinguish between prior and contextual polarity, with a focus on understanding which features are important for this task. Because an important aspect of the problem is identifying when polar terms are being used in neutral contexts, features for distinguishing between neutral and polar instances are evaluated, as well as features for distinguishing between positive and negative contextual polarity. The evaluation includes assessing the performance of features across multiple machine learning algorithms. For all learning algorithms except one, the combination of all features together gives the best performance. Another facet of the evaluation considers how the presence of neutral instances affects the performance of features for distinguishing between positive and negative polarity. These experiments show that the presence of neutral instances greatly degrades the performance of these features, and that perhaps the best way to improve performance across all polarity classes is to improve the system's ability to identify when an instance is neutral.