ML, Twitter Sentiment Analysis
Skills learned: Python, Machine learning, data conditioning and visualization
This is a natural language processing model to classify whether tweets are hatred-related or not using a count vectorizer and support vector classifier in Python used nltk and emot library to remove stopwords and emojis and achieved a 95% accuracy by utilizing sklearn library using a supervised learning algorithm
The code could be accessed from here.
