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What is Data Preprocessing Techniques in Mining about?

This document discusses various techniques for preprocessing text data in information retrieval systems, including tokenization, lowercase conversion, special character removal, stop word removal, stemming, treating synonyms, spell checking, and noun/noun phrase extraction. It provides examples of how to implement these techniques using tools like Stanford NLP and NLTK in Java and Python. The goal of preprocessing is to transform raw text data into a clean format to enable more accurate analysis and efficie

Author

Saad Bin Shahid

Language

EN