Paper We Love: Detecting sentiment in Nepali texts
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Transcript of Paper We Love: Detecting sentiment in Nepali texts
Detecting Sentiment in Nepali Texts
A Bootstrap Approach for Sentiment Analysis of texts in the Nepali
Language By:
Chandan Goopta
And
Bal Krishna Bal
• How : I find this paper.
• Why : I love this paper.
Challenges With Nepali NLP
Challenges In Nepali NLP
Comparison Of Status Of NLP Ingredients In English Indic and Nepali
Language
Challenges Non-Unicode Texts No Corpus Very Few Previous Works
One Possible Solution
Work From Scratch
Development Of SentiWord Net Aka
Bhawanakosh
Easy But less effective way out
Resources Built:
SeniWordNet :A look At Bhawana Kosh
Nepali sentiment Corpus
Results and Evaluation
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
Shristi Baral Amrit Campus Intern @theOpinio @shristibaral [email protected]