Twitter Sentiment Analysis
- Explored tweets to find out the characteristics and patterns.
- Explored the positive and negative tweets by using Wordcloud to visualize the most frequent used words
- Performed data cleaning to remove repeating words and twitter user tags
- Performed Count Vectorization or Tokenization to convert the text data into numbers
- Trained a Naive-Bayes Classifier to classify positive and negative tweets