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Sentiment analysis on tweets related to the coronavirus (COVID-19) can be useful for understanding public opinion, tracking trends, and identifying potential areas of concern. In this task, we can use machine learning techniques, such as logistic regression or support vector machines, to predict the sentiment of a given tweet as positive, negative,
analyzed customer reviews from online and retail orders. Performed sentiment analysis, keyword extraction, and topic modeling to identify trends, satisfaction drivers, and pain points. Used Python (NLTK, spaCy) and visualization tools to present actionable insights for improving customer experience and product strategy.