CLAug 19, 2017
A rule based algorithm for detecting negative words in Persian
arXiv:1708.06708v11 citations
Originality Synthesis-oriented
AI Analysis
This work addresses a domain-specific problem for Persian language processing, but it appears incremental as it builds on existing methods without clear broad impact.
The paper tackles the problem of detecting negative words in Persian by developing a rule-based algorithm that uses an exceptions list and a Persian polarity corpus, achieving unspecified results.
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.