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Analyzing e-commerce sentiments is crucial for businesses to understand customer emotions and opinions about their products and brand. Sentiment analysis, also known as opinion mining, is a process that involves natural language processing, machine learning, and data analytics techniques to extract insights from user-generated content. This analysis can help companies make informed decisions, improve their products and communications strategy, and gauge branded reputation among customers. Sentiment analysis can be applied to various types of data, such as social media conversations, product reviews, and customer support interactions. The analysis can be finegrained, focusing on specific aspects of the products or services, or multilingual, analyzing content in different languages. In e-commerce, sentiment analysis can be used to evaluate product reviews, sort data at scale, and provide real-time analysis of customer feedback. For instance, analyzing Amazon product reviews can help companies recognize what customers like about their products and identify primary issues. Similarly, analyzing movie reviews on Rotten Tomatoes can help production houses understand the general opinion of critics and influence the commercial success of a drama or movie.