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Sentiment analysis is a sub-domain of Artificial Intelligence. It tries to extract the sentiment of a user using this technique and it helps the businesses to identify customer sentiments toward products, brands, or services in online feedback.

A large amount of data that is generated today is unstructured, which requires processing to generate insights. Some examples of unstructured data are news articles, posts on social media, and search history. The process of analyzing natural language and making sense of it falls under the field of Natural Language Processing (NLP). Sentiment analysis is a common NLP task, which involves classifying texts or parts of texts into a pre-defined sentiment

Sentiment analysis also refers to the process of determining whether a given piece of text is positive or negative. In some variations, we consider “neutral” as a third option. This technique is commonly used to discover how people feel about a particular topic. In this video, we will be covering different topics such as, What is Sentiment Analysis and how it works? Different Application of Sentiment Analysis and much more in just 10 minutes.

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