A rule based algorithm for detecting negative words in Persian
Reza Takhshid, Adel Rahimi
TL;DR
This paper introduces a rule-based approach for detecting negative words in Persian, utilizing an exceptions list and a polarity corpus to improve accuracy.
Contribution
The paper presents a novel rule-based method combining an exceptions list and a polarity corpus for Persian negative word detection.
Findings
Effective detection of negative words in Persian
Utilization of exceptions list improves accuracy
Combines rule-based approach with corpus data
Abstract
In this paper, we present a novel method for detecting negative words in Persian. We first used an algorithm to an exceptions list which was later modified by hand. We then used the mentioned lists and a Persian polarity corpus in our rule based algorithm to detect negative words.
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Taxonomy
TopicsNatural Language Processing Techniques · Authorship Attribution and Profiling · Text and Document Classification Technologies