In this Sentiment Analysis with Python open, Namig Abbasov, Digital Humanities Analyst will begin by explaining what sentiment analysis is and why it is a vital text analysis method for both the private sector and academic research. We will demonstrate its utility in industry, business problems, and academic research within the social sciences and digital humanities. Next, various sentiment analysis techniques will be explored, including machine learning, which uses algorithms to classify sentiments; lexicon-based methods that utilize predefined word lists to determine sentiment; hybrid approaches that combine machine learning and lexicon-based methods; and deep learning, which implements advanced neural networks for sentiment classification. In the final section of the workshop, we will conduct a practical sentiment analysis case study using Python.