Project 1: Sentiment Analysis of Twitter

• Objective : To predict sentiment of various tweets
• NLP Model
• Data cleaning and Data preprocessing has been done to optimize features
• Exploratory Data Analysis
• Following models has been used
  • Naive Bayes
  • MLP
  • By Bert Model
  • By Universal Sentence Encoder

Note -» This Project has been successfully completed for the internship program “Applied Machine Learning and Data Science” program organized by CCE, IIT Kanpur. As part of this internship, I worked on the project -“Sentiment analysis of tweets using Natural Language Processing”.

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Links

Report

Kaggle Internal Competition dataset Link

Notebook : Part 1 - Sentiment_Analysis_of_Twitter_using_Naive_Bayes

Notebook : Part 2 - Sentiment_Analysis_of_Twitter_using_Tensorflow_(Universal_Sentence_Encoder)

Notebook : Part 3 - Sentiment_Analysis_of_Twitter_using_Bert Model

Notebook : Part 3 - Sentiment_Analysis_of_Twitter_using_MLP

Github Link