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Abstract: Sentiment analysis or opinion mining is an important type of text analysis that aims to support decision making by extracting and analyzing opinion-oriented text, identifying positive and negative opinions, and measuring how positively or negatively an entity (i.e., people, organization, event, location, product, topic, etc.) is regarded. As more and more users express their political and religious views on Twitter, tweets become valuable sources of people's opinions. This paper proposes a comprehensive guide of using Python to extract, pre-process, and analyse tweets about religion. In this analysis we will be implementing Topic Modelling using LDA and Gensim and Hate Speech Detection using Hate Sonar model.