This project utilizes Natural Language Processing (NLP) techniques to generate a word cloud from Twitter data.
By analyzing tweets, the word cloud visually represents the most frequently occurring words, providing insights into trending topics, common themes, and user sentiments. This tool helps in quickly identifying popular keywords and phrases within Twitter conversations.
- Stopwords
- Rare words
- Lemmatization
- Sentiment and polarity score
- wordcloud
*shape (416809, 2)
Data sources : https://www.kaggle.com/datasets/aadyasingh55/twitter-emotion-classification-dataset