Mining the peanut gallery: opinion extraction and semantic classification of product reviews
WWW '03 Proceedings of the 12th international conference on World Wide Web
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
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
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
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Sentiment analysis in multiple languages: Feature selection for opinion classification in Web forums
ACM Transactions on Information Systems (TOIS)
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
Yahoo! for Amazon: Sentiment Extraction from Small Talk on the Web
Management Science
Investigating Learning Approaches for Blog Post Opinion Retrieval
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
Sentiment summarization: evaluating and learning user preferences
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Get out the vote: determining support or opposition from congressional floor-debate transcripts
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
Stochastic gradient boosted distributed decision trees
Proceedings of the 18th ACM conference on Information and knowledge management
User-directed sentiment analysis: visualizing the affective content of documents
SST '06 Proceedings of the Workshop on Sentiment and Subjectivity in Text
Data mining emotion in social network communication: Gender differences in MySpace
Journal of the American Society for Information Science and Technology
Proximity-based opinion retrieval
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
The demographics of web search
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Sentiment in short strength detection informal text
Journal of the American Society for Information Science and Technology
Predicting consumer sentiments from online text
Decision Support Systems
We feel fine and searching the emotional web
Proceedings of the fourth ACM international conference on Web search and data mining
Journal of the American Society for Information Science and Technology
Political polarization and popularity in online participatory media: an integrated approach
Proceedings of the first edition workshop on Politics, elections and data
Sentiment-focused web crawling
Proceedings of the 21st ACM international conference on Information and knowledge management
Damping sentiment analysis in online communication: discussions, monologs and dialogs
CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume 2
Emotions and dialogue in a peer-production community: the case of Wikipedia
Proceedings of the Eighth Annual International Symposium on Wikis and Open Collaboration
Searching for interestingness in Wikipedia and Yahoo!: answers
Proceedings of the 22nd international conference on World Wide Web companion
Towards emotional awareness in software development teams
Proceedings of the 2013 9th Joint Meeting on Foundations of Software Engineering
Adaptive co-training SVM for sentiment classification on tweets
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Penguins in sweaters, or serendipitous entity search on user-generated content
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Aggregating Personal Health Messages for Scalable Comparative Effectiveness Research
Proceedings of the International Conference on Bioinformatics, Computational Biology and Biomedical Informatics
Analyzing, Detecting, and Exploiting Sentiment in Web Queries
ACM Transactions on the Web (TWEB)
Social Media Business Intelligence: A Pharmaceutical Domain Analysis Study
International Journal of Sociotechnology and Knowledge Development
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Sentiment extraction from online web documents has recently been an active research topic due to its potential use in commercial applications. By sentiment analysis, we refer to the problem of assigning a quantitative positive/negative mood to a short bit of text. Most studies in this area are limited to the identification of sentiments and do not investigate the interplay between sentiments and other factors. In this work, we use a sentiment extraction tool to investigate the influence of factors such as gender, age, education level, the topic at hand, or even the time of the day on sentiments in the context of a large online question answering site. We start our analysis by looking at direct correlations, e.g., we observe more positive sentiments on weekends, very neutral ones in the Science & Mathematics topic, a trend for younger people to express stronger sentiments, or people in military bases to ask the most neutral questions. We then extend this basic analysis by investigating how properties of the (asker, answerer) pair affect the sentiment present in the answer. Among other things, we observe a dependence on the pairing of some inferred attributes estimated by a user's ZIP code. We also show that the best answers differ in their sentiments from other answers, e.g., in the Business & Finance topic, best answers tend to have a more neutral sentiment than other answers. Finally, we report results for the task of predicting the attitude that a question will provoke in answers. We believe that understanding factors influencing the mood of users is not only interesting from a sociological point of view, but also has applications in advertising, recommendation, and search.