About this document
NLP Text Preprocessing Techniques by Prabhash Mishra is a document available to read on EtoBox.
Natural Language Processing (NLP) involves various pre-processing steps to convert raw text into a suitable format for analysis or machine learning. Key steps include lowercasing, tokenization, removing punctuation, and stemming, among others, which enhance data quality and algorithm efficiency. The specific pre-processing techniques applied depend on the task and nature of the text, making them essential for effective NLP applications.
- Author
- Prabhash Mishra
- Language
- EN