A technique used to determine the sentiment or emotion expressed in a piece of text.
More about Sentiment Analysis:
Sentiment Analysis, also known as opinion mining, involves processing text to identify, extract, and study subjective information. This technique categorizes opinions in text, determining whether the writer's attitude is positive, negative, neutral, or sometimes even more specific emotions like happiness, anger, or sadness.
It's widely used in business analytics, customer feedback analysis, and social media monitoring to gauge public sentiment about products, services, or topics.
Frequently Asked Questions
How accurate is Sentiment Analysis?
The accuracy of Sentiment Analysis depends on various factors including the quality of the data, the algorithms used, and the complexity of the text. While advancements in NLP have improved accuracy, nuances and cultural differences in language can still pose challenges.
Can chatbots perform Sentiment Analysis?
Yes, many advanced chatbots incorporate Sentiment Analysis to gauge user emotions during interactions, allowing them to tailor responses accordingly or escalate issues to human agents when needed.
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