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Sentiment analysis is a subdomain of Artificial Intelligence. Using this technique, it tries to find out the sentiment of a user and helps companies identify customer sentiments towards products, brands or services in online feedback.
A large amount of data generated today is unstructured, which requires processing to generate insights. Some examples of unstructured data include news articles, social media posts, and search history. The process of analyzing natural language and understanding it falls under the field of Natural Language Processing (NLP). Sentiment analysis is a common NLP task, where texts or parts of texts are classified into a predefined sentiment
Sentiment analysis also refers to the process of determining whether a particular piece of text is positive or negative. In some variants we consider 'neutral' as a third option. This technique is often used to discover what people think about a certain topic. In this video we cover various topics, such as: What is sentiment analysis and how it works? Various applications of sentiment analysis and much more in just 10 minutes.
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