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Word and Phrase Clustering in NLP by madhumithaj005 is a document available to read on EtoBox.

The document discusses Natural Language Processing (NLP) with a focus on word and phrase clustering, which helps uncover hidden relationships in text data. It outlines definitions, techniques, and applications for both word clustering, such as frequency-based and embedding methods, and phrase clustering, including n-gram models and contextual similarity. Examples illustrate how K-means clustering can group semantically similar words and phrases.

Author
madhumithaj005
Language
EN