Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence

BlogVox: Learning Sentiment Classifiers

Justin Martineau, Akshay Java, Pranam Kolari, Anupam Joshi, Tim Finin, and James Mayfield

July 22, 2007

Performing sentiment analysis upon a topic, specified by key words, without prior knowledge about the key words is a difficult task. With the growth of the blogosphere researchers, corporations, and politicians, among others are very interested in applying sentiment detection to blogs. To accommodate the demands from myriad users, with similarly diverse desires, a sentiment analysis engine for blogs must discover domain specific features relevant to queries in order to accurately assess the sentiment of blogs. Using meta-learning upon the results of web searches, as BlogVox does, can accomplish this goal

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Tags: information retrieval, learning and discovery

Type: InProceedings

Publisher: Menlo Park, CA; Cambridge, MA; London; AAAI Press; MIT Press; 1999

Volume: 22

Number: 1888-1889

Downloads: 1965 downloads

Google Scholar Citations: 2 citations