Text preprocessing is a critical step in natural language processing that involves cleaning and transforming raw text data into a format suitable for analysis and modeling. It enhances the quality of the data by removing noise and inconsistencies, thus improving the performance of machine learning models.

Text Preprocessing

Text preprocessing

Natural language processing (NLP) is a field at the intersection of computer science, artificial intelligence, and linguistics, focused on enabling computers to understand, interpret, and generate human language. It encompasses a wide range of applications, from speech recognition and sentiment analysis to machine translation and conversational agents, leveraging techniques like machine learning and deep learning to improve accuracy and efficiency.

natural language processing

Cleaning raw text data

transforming raw text data

format suitable for analysis

Quality Of Data

removing noise

Inconsistencies in data

performance of machine learning models

Comprehensive Overview of Core NLP Concepts and Techniques

Relevant Degrees

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