Am I Really Happy When I Write "Happy" in My Post?

Posts published on the Internet could serve as a valuable source of information regarding emotion. Recommendation systems, stock market forecast and other areas are likely to benefit from the advancement in mood classification. To deal with this task, researchers commonly rely on preassembled lexicons of emotional words. In this paper we discuss the possibility of extracting emotion-specific words from userannotated blog entries. The study is based on analysis of the collection from 14800 Live Journal posts containing the “Current mood” tag, specified by the author. The analysis findings and possible applications are discussed.