DataHour: An Introduction to POS Tagging and Hidden Markov Model
DataHour: An Introduction to POS Tagging and Hidden Markov Model
11 Mar 202307:03am - 11 Mar 202308:03am
DataHour: An Introduction to POS Tagging and Hidden Markov Model
About the Event
Part-of-speech tagging (POS) tagging, also known as grammatical tagging or word-category disambiguation, is the process of marking up a word in a text or corpus as corresponding to a particular part of speech, based on its definition and context. POS tagging is a prerequisite to simplify a lot of NLP problems such as Text to Speech Conversion, Word Sense Disambiguation etc.
Hidden Markov Models are a class of probabilistic model that allow us to predict a sequence of unknown variables from a set of observed variables.
In this DataHour, Deepika will explain all about POS Tagging and Hidden Markov Model.
Prerequisites: Understanding of Probability Basics, Conditional Probability and Naïve Bayes Theorem and Zeal of Learning Data Science.
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
Who is this DataHour for?
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
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