Sentiment Analysis refers to the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information. (Source: Wikipedia)
Sentiment analysis on tweets can be extremely useful. By analyzing the tweets, we can find the sentiment of people on certain affair, understand people's opinion. Also it can help us make right strategies/reactions.
In this post, our main goal is to build a model to identify tweets with racist or sexist sentiment.