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 baralshristi@gmail.com