Mood and Sentiment Assessment Using Latent Semantic Analysis
Journal Title: Revista Romana de Interactiune Om-Calculator - Year 2012, Vol 5, Issue 2
Abstract
The analysis of written communication can reveal subtle information, such as speaker’s emotional state, attitude and intentions. However, these cannot always be extracted accurately, at a level comparable to humans’ abilities. Extracting emotions does not only reveal information about the speaker, but can also anticipate what effect might the text have on the person who reads it. Therefore we propose an automatic method for analyzing emotions induced by texts, more specifically a reader’s most likely emotional state after reading a news article. In order to achieve this, we combined a context independent approach (analyzing the text that is read using natural language processing tehniques) with the influences of user’s current emotional state evaluated through his/her feedback.
Authors and Affiliations
Diana Lupan, Mihai Dascalu, Stefan Trausan-Matu, Traian Eugen Rebedea, Philippe Dessus, Maryse Bianco
Keywords
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