Which NLP technique is used to transform text into a meaningful vector (or array) of numbers?
- Sentiment Analysis
- Latent Semantic Analysis (LSA)
- Feature Scaling
- Clustering Analysis
Latent Semantic Analysis (LSA) is an NLP technique that transforms text into a meaningful vector space by capturing latent semantic relationships between words. It helps in reducing the dimensionality of text data while preserving its meaning. The other options are not methods for transforming text into numerical vectors and serve different purposes in NLP and data analysis.
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