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.

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Who is this DataHour for?

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About the Speaker

Deepika Sridharan

Deepika Sridharan

Lead Data Scientist at Johnson & Johnson Pvt Ltd

Deepika is currently working as a Lead Data Scientist at Johnson & Johnson. She is proficient in deploying complex machine learning algorithms/techniques and comes with 7+ years of overall industry experience. Deepika has delivered multiple projects in the FMCG sector in the areas of supply chain & marketing analytics. Her interest areas include Deep Learning, Natural Language Processing and Graph Mining. She is pursuing her master in Data Science from BITS Pilani.

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