Fundamental Text Processing
Akshi Kumar · 2024
This chapter explores the essential techniques for processing textual data, including tokenization, parsing, and syntactic analysis. It also addresses the critical step of text cleaning, which ensures the reliability of NLP outcomes by preparing raw data for further analysis. Key topics include stop word removal, stemming, lemmatization, and sub-word tokenization, laying the groundwork for more advanced NLP tasks.