Twitter Sentiment Analysis

Python Script for sentimental analysis of tweets. Sentiment analysis is the process of determining the emotional tone behind a piece of text, whether it is positive, negative, or neutral. It is a type of natural language processing (NLP) task that uses machine learning algorithms to classify text according to its sentiment. Sentiment analysis is commonly used in social media monitoring, brand reputation management, and customer service applications.

Requirements:

• Python
• Tweepy
• TextBlob
• Pandas

Dependencies:

1. Install Tweepy pip install tweepy
2. Install TextBlob pip install -U textblob
3. Additional Dependency python -m textblob.download_corpora