Fundamental Language Processing Techniques
Akshi Kumar · 2024
This chapter covers core language processing techniques essential for NLP applications, including topic modelling, named entity recognition (NER), text summarization, and semantic role labelling (SRL). It explores the computational methods and tools used to extract meaning and structure from unstructured text data, providing a foundation for more complex NLP tasks like machine translation and automated content generation.