Digital Signal Processing

   

Affect Analysis in Persian Text Documents

Authors: Shokoofe Dashtbani, Abdol Hamid Pilevar

in this article we review a new approach to analysis the Persian texts. This paper is studied the emotional analysis in Persian texts. Methods and features proposed in this article are compared with English methods. Recently, analysis of texts in other languages has been studied particularly in English language and many methods are presented for the rapid analysis of English texts. The method used in this paper is similar to methods used in the English language. This analysis is done by making emotional categories. The method based on emotional categorization of the semantic similarities. For building the emotional categories in Persian, we used semantic similarity and this method has been successful to emotional analyze of the Persian texts about 80 percent of the cases.

Comments: 7 Pages.

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Submission history

[v1] 2014-05-07 04:56:33

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