Classwork 3 1/31/2024 1

[edaraa2]

Sentiment analysis is a field that uses computer science to understand the feelings and opinions expressed in text. It's like a giant mood detector for written words. Sentiment analysis is a powerful tool that can help us understand the emotions behind the words. As technology continues to develop, sentiment analysis is sure to become even more sophisticated and helpful.

• What it does: Sentiment analysis determines whether a piece of text is positive, negative, or neutral. It can be used for short snippets like tweets or entire documents.
• How it works: This analysis uses a mix of techniques from natural language processing (NLP) and machine learning. NLP helps the computer understand the nuances of human language, like sarcasm or slang. Machine learning allows the computer to analyze massive amounts of text and identify patterns that indicate sentiment.

Uses:

• Social media monitoring.
• Customer support ticket analysis.
• Brand monitoring and reputation management.
• Listen to voice of the customer (VoC).
• Listen to voice of the employee.
• Product analysis.
• Market research and competitive research.

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