Title | Sentiment Classification: Linguistic and Non-linguistic Issues |
Publication Type | Conference Paper |
Year of Publication | 2005 |
Authors | Rimon M |
Conference Name | Israeli Seminar on Computational Linguistics |
Conference Location | Technion, Haifa, Israel |
Abstract | There is a growing interest in the NLP community in methods for determining the sentiment (tone, polarity, semantic orientation) of a given piece of text (see references below). The large number of potential applications, such as quantitative summarization of customer reviews, public opinion surveys, business intelligence, trend analysis, etc.justifies this. From a research point of view, sentiment classification is an interesting A related task is extraction of representative phrases, to be used as quotes in a summary, supporting the sentiment evaluation of a review. Quotes of interest may be generally positive or negative, or pertain to a specific dimension (topic) of the subject domain. In this presentation, I will describe the common approaches to tackle this challenge and will suggest directions that I believe to be the most appropriate. I will discuss the contribution of various levels of linguistic analysis to the effectiveness of the classification method. |
URL | http://www.cs.technion.ac.il/~bagilad/iscol/abstracts/Rimon.pdf |
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