1. Sentiment Analysis
Of Nepali Text
Using Naïve Bayes
MAHESH ACHARYA
ABHISHEK SAPKOTA
ASHOK CHHETRI
RABIN BHANDARI
UNDER SUPERVISION OF
MR. BIKASH BALAMI
2. INTRODUCTION
Contextual mining of text in Negative, Positive or Neutral
Analysis the opinion of customer on products and services
Study the political views of people of current affairs
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3. PROBLEM DEFINITION
Sentiment analysis is in research phase in Nepali Language
What if business owners make strategic plan based on customers
reviews?
E-commerce sites not utilizing the reviews of the customers
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4. OBJECTIVES
To analysis the opinion of customer on products and services
To study the political views of people of current affairs
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17. PREDICTION
User Input
यो ठाउँ घुम्न को लागि राम्रो छ ।
Remove Punctuation
यो ठाउँ घुम्न को लागि राम्रो छ
(Note : User input also vectorize like above method.)
20. LIMITATION
The accuracy of the reviews is low when there is the mixture of
Nepali as well as English language in comments.
Ambiguity can occurs and semantic analysis is difficult to address.
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