Mining the peanut gallery: opinion extraction and semantic classification of product reviews
WWW '03 Proceedings of the 12th international conference on World Wide Web
The Journal of Machine Learning Research
Opinion observer: analyzing and comparing opinions on the Web
WWW '05 Proceedings of the 14th international conference on World Wide Web
Discovering evolutionary theme patterns from text: an exploration of temporal text mining
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
ICML '06 Proceedings of the 23rd international conference on Machine learning
Text mining for product attribute extraction
ACM SIGKDD Explorations Newsletter
Topic evolution and social interactions: how authors effect research
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
ICDM '08 Proceedings of the 2008 Eighth IEEE International Conference on Data Mining
The web of topics: discovering the topology of topic evolution in a corpus
Proceedings of the 20th international conference on World wide web
Unified analysis of streaming news
Proceedings of the 20th international conference on World wide web
Effects of user similarity in social media
Proceedings of the fifth ACM international conference on Web search and data mining
Social moms and health: a multi-platform analysis of mommy communities
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
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By augmenting conventional techniques of topic modeling with unigram analysis and community detection, we establish an automated method that generates a comprehensive and meaningful summary of forum conversations over time that also sheds light on patterns of user behavior. We combine these methods to obtain a multiscale representation of what topics are being discussed, what the users are saying about each topic, how the conversation is evolving over time, and how friendships relate to content. As an example of our methodology, we examine discussion boards on Cafemom---an online hub for women to share their experiences and discuss their views on issues pertinent to child rearing. We apply the method with a focus on the issue of vaccination- a subject matter which has become controversial in recent years. We demonstrate how our methodology provides valuable insights into the evolution of conversations and highlights similarities in attitudes of socially connected users.