VipanchiKatthula/TwitterSentimentAnalysis

Twitter Sentiment Analysis

Twittter Sentiment Analysis

TABLE OF CONTENTS

• Introduction
• Technologies
• Algorithms
• Approach

Introduction

Sentiment_Twitter file has the code for the analysis

Technologies

Project is created with:

• Python Packages (scikit-learn, Pandas, Numpy, NLTK)
• Twitter Amazon Reviews Dataset ( 100k Tweets-->90k Train, 10k Test )

Model

• TF-IDF Vectorization
• Logistic Regression

Approach:

1. Data Preprocessing
2. TF-IDF vectorization
3. Logistic Regression
4. K-fold CV
5. Metrics- accuracy, precision, recall