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
Deriving marketing intelligence from online discussion
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
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 subjective nouns using extraction pattern bootstrapping
CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
Learning extraction patterns for subjective expressions
EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
A sentimental education: sentiment analysis using subjectivity summarization based on minimum cuts
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
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
Get another label? improving data quality and data mining using multiple, noisy labelers
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Feature subsumption for opinion analysis
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language 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
VoiSTV: voice-enabled social TV
Proceedings of the 20th international conference companion on World wide web
MemeTube: a sentiment-based audiovisual system for analyzing and displaying microblog messages
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: Systems Demonstrations
Target-dependent Twitter sentiment classification
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Part-of-speech tagging for Twitter: annotation, features, and experiments
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Democrats, republicans and starbucks afficionados: user classification in twitter
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
User-level sentiment analysis incorporating social networks
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Sentiment analysis of Twitter data
LSM '11 Proceedings of the Workshop on Languages in Social Media
Experiments with artificially generated noise for cleansing noisy text
Proceedings of the 2011 Joint Workshop on Multilingual OCR and Analytics for Noisy Unstructured Text Data
Adapting a WSJ trained part-of-speech tagger to noisy text: preliminary results
Proceedings of the 2011 Joint Workshop on Multilingual OCR and Analytics for Noisy Unstructured Text Data
Using the journalistic metaphor to design user interfaces that explain sensor data
INTERACT'11 Proceedings of the 13th IFIP TC 13 international conference on Human-computer interaction - Volume Part III
Topic sentiment analysis in twitter: a graph-based hashtag sentiment classification approach
Proceedings of the 20th ACM international conference on Information and knowledge management
On the generation of rich content metadata from social media
Proceedings of the 3rd international workshop on Search and mining user-generated contents
Tracking "gross community happiness" from tweets
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Linguistic redundancy in Twitter
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Twitter catches the flu: detecting influenza epidemics using Twitter
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Emotion tokens: bridging the gap among multilingual twitter sentiment analysis
AIRS'11 Proceedings of the 7th Asia conference on Information Retrieval Technology
Influence patterns in topic communities of social media
Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics
Content vs. context for sentiment analysis: a comparative analysis over microblogs
Proceedings of the 23rd ACM conference on Hypertext and social media
Entity-centric topic-oriented opinion summarization in twitter
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Context-Sensitive sentiment classification of short colloquial text
IFIP'12 Proceedings of the 11th international IFIP TC 6 conference on Networking - Volume Part I
User-sentiment topic model: refining user's topics with sentiment information
Proceedings of the ACM SIGKDD Workshop on Mining Data Semantics
Learning for microblogs with distant supervision: political forecasting with Twitter
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
French presidential elections: what are the most efficient measures for tweets?
Proceedings of the first edition workshop on Politics, elections and data
If you are happy and you know it... tweet
Proceedings of the 21st ACM international conference on Information and knowledge management
TwiSent: a multistage system for analyzing sentiment in twitter
Proceedings of the 21st ACM international conference on Information and knowledge management
Semantic sentiment analysis of twitter
ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part I
Exploiting social relations for sentiment analysis in microblogging
Proceedings of the sixth ACM international conference on Web search and data mining
A Multi-Classifier System for Sentiment Analysis and Opinion Mining
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Brand-Related Events Detection, Classification and Summarization on Twitter
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Ontology-based sentiment analysis of twitter posts
Expert Systems with Applications: An International Journal
Identifying purpose behind electoral tweets
Proceedings of the Second International Workshop on Issues of Sentiment Discovery and Opinion Mining
How the live web feels about events
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Expert Systems with Applications: An International Journal
Ranked WordNet graph for Sentiment Polarity Classification in Twitter
Computer Speech and Language
TOM: Twitter opinion mining framework using hybrid classification scheme
Decision Support Systems
A fuzzy-oriented sentic analysis to capture the human emotion in Web-based content
Knowledge-Based Systems
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In this paper, we propose an approach to automatically detect sentiments on Twitter messages (tweets) that explores some characteristics of how tweets are written and meta-information of the words that compose these messages. Moreover, we leverage sources of noisy labels as our training data. These noisy labels were provided by a few sentiment detection websites over twitter data. In our experiments, we show that since our features are able to capture a more abstract representation of tweets, our solution is more effective than previous ones and also more robust regarding biased and noisy data, which is the kind of data provided by these sources.