Abstract
With the accelerated increase in the amount of data in our hands right now (particularly text and speech), how do we extract value, meaning and relationships from them?
Analyzing this huge amount of data could help uncover several insights and contextual information that could be used in a wide variety of real-world applications like recommendations, search engines, text-to-speech devices etc. Natural language processing is the perfect toolkit for this. This talk aims to give a brief introduction to natural language processing, its principles and the various tasks that can be undertaken for extracting information from some text.
Pre-requisites
Interest in Python and Machine Learning.
Expected duration
15-20 minutes
Level
Beginner
Speaker Bio
I'm a third year undergraduate at Delhi Technological University. I have been involved in numerous applied machine learning and NLP-based research projects and endeavors over the past year, and am also a member of PyLadies Delhi.
Abstract With the accelerated increase in the amount of data in our hands right now (particularly text and speech), how do we extract value, meaning and relationships from them? Analyzing this huge amount of data could help uncover several insights and contextual information that could be used in a wide variety of real-world applications like recommendations, search engines, text-to-speech devices etc. Natural language processing is the perfect toolkit for this. This talk aims to give a brief introduction to natural language processing, its principles and the various tasks that can be undertaken for extracting information from some text.
Pre-requisites Interest in Python and Machine Learning.
Expected duration 15-20 minutes
Level Beginner
Speaker Bio I'm a third year undergraduate at Delhi Technological University. I have been involved in numerous applied machine learning and NLP-based research projects and endeavors over the past year, and am also a member of PyLadies Delhi.
- Can be done after the talk/workshop -
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