You are analyzing customer reviews for a product and want to automatically categorize each review as positive, negative, or neutral. Which NLP task would be most relevant for this purpose?
- Named Entity Recognition (NER)
- Text Summarization
- Sentiment Analysis
- Machine Translation
Sentiment Analysis is the NLP task most relevant for categorizing customer reviews as positive, negative, or neutral. It involves assessing the sentiment expressed in the text and assigning it to one of these categories based on the sentiment polarity. NER, Text Summarization, and Machine Translation serve different purposes and are not suitable for sentiment categorization.
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