A rule based algorithm for detecting negative words in Persian
نویسندگان
چکیده
In order to facilitate sentiment analysis of Persian text, we’ve designed and implemented an algorithm which aims to detect words with negative polarity. Currently most sentiment analysis algorithms depend mainly on polarity datasets. However, since negative prefixes in Persian are only attached to a semantically positive base (shaghagi, 2002), we have incorporated a negative prefix detection to further increase the functionality of sentiment analysis in Persian.
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ورودعنوان ژورنال:
- CoRR
دوره abs/1708.06708 شماره
صفحات -
تاریخ انتشار 2017