publication . Article . 2018

Presenting a Text Mining Algorithm to Identify Emotion in Persian Corpus

Masoud Garshasbi; Anahid Rais-Rohani; Mohammadreza Kabaranzadeh Ghadim;
Open Access Persian
  • Published: 01 Jun 2018 Journal: Journal of Information Technology Management, volume 10, issue 2, pages 375-389 (issn: 2008-5893, eissn: 2423-5059, Copyright policy)
  • Publisher: University of Tehran
Abstract
The literature regarding Persian text mining indicates that most studies are conducted to detect polarity of opinions on social websites. The aim of this research is presenting an algorithm to identify emotion implemented in the text based on the following six main emotions of happiness, sadness, fear, anger, surprise and disgust. In this research, the emotion will be examined based on unsupervised lexicon method. Identifying emotions conveyed by the texts based on a single emotional word will produce low accuracy because the intervening boosters and negating words can influence the emotion of the text too. Therefore, the algorithm has been implemented in six ap...
Subjects
ACM Computing Classification System: GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries)
free text keywords: Data Mining, Emotion analysis, Sentiment mining, Text mining, Web mining, lcsh:Information resources (General), lcsh:ZA3040-5185
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