2021
DOI: 10.1609/icwsm.v10i1.14791
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Analyzing the Political Sentiment of Tweets in Farsi

Abstract: We examine the question of whether we can automatically classify the sentiment of individual tweets in Farsi, to determine their changing sentiments over time toward a number of trending political topics. Examining tweets in Farsi adds challenges such as the lack of a sentiment lexicon and part-of-speech taggers, frequent use of colloquial words, and unique orthography and morphology characteristics. We have collected over 1 million Tweets on political topics in the Farsi language, with an annotated data set o… Show more

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Cited by 5 publications
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