About this document

Module 3 NLP POS Tagging by rishitmurarka2021 is a document available to read on EtoBox.

The document discusses part-of-speech (POS) tagging and named entity recognition (NER) in natural language processing (NLP), outlining the classification of words into open and closed classes, the challenges of tagging, and the algorithms used for these tasks. It highlights the importance of POS tagging for various NLP applications and explains the Hidden Markov Model (HMM) and its role in tagging and recognition processes. Additionally, it covers the Viterbi algorithm for determining the most likely sequen

Author

rishitmurarka2021

Language

EN