sentiment analysis on top leader’s of political parties speeches and tweet’s data, and study there impact on Indian politics. For this thesis I used machine learning algorithms like Random forest, linear regression, naïve bayes and natural language processing (NLP) to get the results.

1. Sentiment Analysis
On political speeches and its impact on Indian politics
Vidyakamal
2016PIS1010

2. What is sentiment analysis ?
• Extracting feeling, For/against, like/dislike, good/bad, etc.
• Machine learning methods to extract, identify, or otherwise
characterize the sentiment content of a text unit
• It’s also known as opinion mining
• Deriving the opinion or attitude of a speaker

3. Why sentiment analysis ?
• Extracting feeling, For/against, like/dislike, good/bad, etc.
• Machine learning methods to extract, identify, or otherwise
characterize the sentiment content of a text unit
• It’s also known as opinion mining
• Deriving the opinion or attitude of a speaker

4. Types of Sentiment Analysis?
• Subjectivity/objectivity identification
Subjectivity/objectivity identification entails classifying a sentence or a fragment of
text into one of two categories: subjective or objectivity.
• Feature/aspect-based identification
Feature/aspect identification allows for the determination of different opinions or sentiments
(features) in relation to different aspects of an entity.

5. Sentiment Analysis Methods
 Statistical approaches
 Supervised learning
 Unsupervised learning
 Semi-supervised learning
 Knowledge-based approaches
 Hybrid approaches

7. Methodology & Implementation
• Natural Language Processing
• Stanford CoreNLP
• Machine learning Algorithms
• Naïve Bayes Algorithm
• Support Vector Machine
• Word Cloud

9. Analysis Results of speeches

14. #hashtag Used by BJP #hashtag Used by INC
Trending
#SarkaraBadalisiBJPGellisi #KarnatakaWithCongress
#KarnatakaElection2018
#BJP4BetterKarnataka #INC4Karnataka
#KarnatakaVerdict
#BJP4InclusiveVikasa #CongressMathomme
#KarnatakaElection
#KarnatakaElection #JanaAashirwadaYatre
##SarkaraBadalisiBJPGellisi
#KarnatakaTrustsModi #congressfornavakarnataka
#KarnatakaElectionResult

16. Thank U………!!!