Mining the peanut gallery: opinion extraction and semantic classification of product reviews
WWW '03 Proceedings of the 12th international conference on World Wide Web
Sentiment analysis: capturing favorability using natural language processing
Proceedings of the 2nd international conference on Knowledge capture
Why we search: visualizing and predicting user behavior
Proceedings of the 16th international conference on World Wide Web
ARSA: a sentiment-aware model for predicting sales performance using blogs
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Description and Prediction of Slashdot Activity
LA-WEB '07 Proceedings of the 2007 Latin American Web Conference
Can blog communication dynamics be correlated with stock market activity?
Proceedings of the nineteenth ACM conference on Hypertext and hypermedia
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
Yahoo! for Amazon: Sentiment Extraction from Small Talk on the Web
Management Science
Just how mad are you? finding strong and weak opinion clauses
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Twitter power: Tweets as electronic word of mouth
Journal of the American Society for Information Science and Technology
Data mining emotion in social network communication: Gender differences in MySpace
Journal of the American Society for Information Science and Technology
Characterizing debate performance via aggregated twitter sentiment
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
BlogMiner: Web Blog Mining Application for Classification of Movie Reviews
ICIW '10 Proceedings of the 2010 Fifth International Conference on Internet and Web Applications and Services
Classifying sentiment in microblogs: is brevity an advantage?
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Classification of Short Text Comments by Sentiment and Actionability for VoiceYourView
SOCIALCOM '10 Proceedings of the 2010 IEEE Second International Conference on Social Computing
Sentiment Mining within Social Media for Topic Identification
ICSC '10 Proceedings of the 2010 IEEE Fourth International Conference on Semantic Computing
Predicting the Future with Social Media
WI-IAT '10 Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
A Framework for Emotion Mining from Text in Online Social Networks
ICDMW '10 Proceedings of the 2010 IEEE International Conference on Data Mining Workshops
Pervasive'12 Proceedings of the 10th international conference on Pervasive Computing
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Social networks have changed the way information is delivered to the customers, shifting from traditional one-to-many to one-to-one communication. Opinion mining and sentiment analysis offer the possibility to understand the user-generated comments and explain how a certain product or a brand is perceived. Classification of different types of content is the first step towards understanding the conversation on the social media platforms. Our study analyses the content shared on Facebook in terms of topics, categories and shared sentiment for the domain of a sponsored Facebook brand page. Our results indicate that Product, Sales and Brand are the three most discussed topics, while Requests and Suggestions, Expressing Affect and Sharing are the most common intentions for participation. We discuss the implications of our findings for social media marketing and opinion mining.