A new linguistic approach to sentiment automatic processing

With the growth of the Web2.0, e-commerce has become very popular in use, many websites offer the opportunity to make sales online and give the opportunity to get own an online review about objects, persons, and products. New opportunities and challenges arise as people can now actively use information technologies to seek and understand other people's opinions (sentiments) when to making their choices. In this paper, we propose a new two-step approach for an automatic sentiment processing, consisting a first step dealing with extract the subjective portions of reviews and a second one which determines the review overall sentiment by identifying whether a review appreciates (positive) or desappreciates (negative) its purpose. This approach consists of a four levels processing chain operating in a parallel way (i.e syntactic, semantic, linguistic and sentiment analysis).

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