Paper We Love: Detecting sentiment in Nepali texts
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Transcript of Paper We Love: Detecting sentiment in Nepali texts
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Detecting Sentiment in Nepali Texts
A Bootstrap Approach for Sentiment Analysis of texts in the Nepali
Language By:
Chandan Goopta
And
Bal Krishna Bal
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• How : I find this paper.
• Why : I love this paper.
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Challenges With Nepali NLP
Challenges In Nepali NLP
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Comparison Of Status Of NLP Ingredients In English Indic and Nepali
Language
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Challenges Non-Unicode Texts No Corpus Very Few Previous Works
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One Possible Solution
Work From Scratch
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Development Of SentiWord Net Aka
Bhawanakosh
Easy But less effective way out
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Resources Built:
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SeniWordNet :A look At Bhawana Kosh
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Nepali sentiment Corpus
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Results and Evaluation
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Future Work and Enhancement
• Development of high-accuracy POS tagger •Assigning polarity to SentiWordNet Words •Adding words in Subjectivity Clue list •Annotation of documents for populating corpus •Populating training set •Rules to tackle language peculiarities and ambiguities
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Shristi Baral Amrit Campus Intern @theOpinio @shristibaral [email protected]