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Sentiment Analysis is a natural language processing (NLP) technique used to determine the emotional tone or sentiment behind text data. It helps in analyzing whether the expressed opinion is positive, negative, or neutral. This tool is particularly useful for understanding public opinion, customer feedback, and even movie reviews.
What is Sentiment Analysis used for?
Sentiment Analysis is used to analyze text data and determine its emotional tone, helping businesses, researchers, and individuals understand opinions and feedback.
Can Sentiment Analysis handle sarcasm or irony?
Modern sentiment analysis tools have improved in detecting sarcasm and irony, but they may not always be 100% accurate in such cases.
How accurate is Sentiment Analysis?
Accuracy varies depending on the model and data quality. While advanced models are highly accurate, they may struggle with ambiguous or context-dependent text.