Natural Language Processing – Introduction and Use Cases

Abstract

Communication is the backbone of modern civilization, be it humans or our devices. Yet, human communication is often through sentences and words, much of which is unstructured/unclear for a computer to understand. NLP (Natural Language Processing), a sub-field of Artificial Intelligence, attempts to bridge that gap by making that unstructured language understandable for computers in order to gain meaningful insights from it. 

Our tech evangelist Mohanaraj will take you through the concept of NLP and some common terminologies used. He will also throw light two common use cases, i.e. the Text Summarization Problem, wherein NLP can be leveraged to get proper summary of large reports/documents, and the Text Classification Problem – Sentiment Analysis, where businesses can leverage NLP to gain insights from written reviews and gauge the customer sentiment.

Agenda:

• Introduction and Terminologies used in NLP
• Text Summarization Problem 
• Text Classification Problem - Sentiment Analysis

About the Speaker:

Mohanaraj Jagadesan, SpringPeople’s Technology Evangelist, has 11+ years of IT experience in application design, development and maintenance with deep expertise in Python, JavaScript, Korn Shell Scripting and related technologies.

With over a 3+ years of onshore work experience in the U.K, he has worked with MNCs like Torry Harris Business Solutions (THBS). Well known for his mentorship skills, he is a highly sought after corporate trainer for UNIX, Perl Scripting, Ruby on Rails, Ruby Programming, Excel VBA & CSS3.