DataHour: An Overview of Named Entity Recognition(NER)

About the DataHour:

In this Datahour, Pallavi will explain all about the process of NER (Named Entity Recognition) covering the following points in detail:

• NLP & NER - Introduction
• NER - Methods, usage
• NER - Basic to advance libraries to train NER model
• NER - Example with 4-5 different libraries
• NER - Different Language wise libraries usage
• NER - Domain wise applications" 

Prerequisites: Enthusiasm of learning Data Science and Machine Learning.

Who is this DataHour for?

• Students & Freshers who want to build a career in the Data-tech domain.
• Working professionals who want to transition to the Data-tech domain.
• Data science professionals who want to accelerate their career growth

Note: E-certificates will be provided within 24 - 48 hours of the session only to those who have attended the entire webinar. Please make sure to join the zoom webinar with your correct name and email address to ensure that your certificate is properly credited to you.

Speaker:

Pallavi Khedekar

Senior Data Scientist at Globant

Pallavi has been working as a Data Scientist for 5+ years on real-time applications in Machine Learning, Artificial Intelligence and Big data analytics for multiple government and private organizations across countries. Leading a team working on Natural language processing [NLP], she has designed and developed a variety of NLP related services and products for different domains and business problems and worked on Natural language processing, Computer vision domain related projects. She holds experience of handling volume and variety of data types like Text, Image, Sound, Audio, Video in data science domain projects. She holds master's degree M.TECH in Computer Science Engineering Specialization in Big Data Analytic and bachelor's degree B.E. in Computer Science Engineering. She is also a member of different technical groups like Women Techmakers ,The Society of Women Engineers and Py Ladies.

Connect with her on Linkedin.