How to analyze text data with Named Entity Recognition

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About the webinar

The internet is a rich source of data, mainly textual data. But making use of huge quantities of data is complex and time consuming task. NLP can help with this problem through the use of Named Entity Recognition systems. Named entities are terms that refer to names, organisations, locations, values etc. NER annotates texts – marking where and what type of named entities occurred in it. This step significantly simplifies further use of such data, allowing for easy categorisation of documents, analyze sentiments, improving automatically generated summaries etc.

Webinar on how to analyze text data

Further, in many industries, the vocabulary keeps changing and growing with new research, abbreviations, long and complex constructions and makes it difficult to get accurate results or use rule-based methods. Named Entity Recognition and Classification can help to effectively extract, tag, index and manage this fast and ever-growing knowledge.

Through this webinar, we will understand how NER can be used to extract key entities from large volumes of text data

What you will learn

How organizations are leveraging Named Entity Recognition across various industries

Live demo - Identify & classify complex terms & with NERC (Named Entity Recognition & Categorization)

Best practice to automate machine learning models in hours not months

Speaker(s) & Panelist(s):


Nisha Shoukath

Co-founder and COO at

COO & Technology leader with over 20 years of experience in Product development, Artificial Intelligence and Machine Learning business strategy and acceleration. Consultant to Fortune 100 organizations across IT, Telecom, Manufacturing, Healthcare, Construction, Pharmaceuticals, Retail, Biotechnology, Banking and Insurance sectors to deliver business impact.


Mohit Juneja

Solutions Architect

Technology enthusiast with 13+ years of experience working in the information technology and services industry. Leads cutting-edge solutions for businesses using Machine Learning and Artificial Intelligence.


Shruti Tanwar

Lead - Data Science

Extensive experience working at the forefront of innovative projects, building future tech using Machine Learning and Artificial Intelligence.