sentiment analysis

How Does Sentiment Analysis Work?

Sentiment analysis uses natural language processing (NLP) and machine learning algorithms to analyze text. The process involves several steps:
1. Data Collection: Gathering text data from various sources.
2. Preprocessing: Cleaning the data to remove noise and irrelevant information.
3. Sentiment Detection: Classifying text as positive, negative, or neutral.
4. Scoring: Assigning a sentiment score to quantify the emotional tone.

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