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Sentiment Classification: Linguistic and Non-linguistic Issues

TitleSentiment Classification: Linguistic and Non-linguistic Issues
Publication TypeConference Paper
Year of Publication2005
AuthorsRimon M
Conference NameIsraeli Seminar on Computational Linguistics
Conference LocationTechnion, Haifa, Israel

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
and challenging problem, involving diverse linguistic and non-linguistic considerations.

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.