A company wants to analyze customer reviews to improve product features. Which NLP technique would be most appropriate to extract specific product features mentioned in the reviews?
- Document Classification
- Named Entity Recognition (NER)
- Sentiment Analysis
- Tokenization
Named Entity Recognition (NER) is a technique in Natural Language Processing (NLP) that identifies and extracts specific entities such as product names, locations, and more. It's ideal for extracting product features from text data.
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