Learn the Essentials of Natural Language Processing (NLP) with Python
Recorded on Thursday, April 8, 2021
Want to Learn the Essentials of NLP with Python?
Join this step-by-step tutorial on how to use natural language processing (NLP) to assess the similarity of text documents with data scientist, Ankit Prasad.
About the Webinar:
Natural Language Processing (NLP) is a branch of artificial intelligence that helps computers read, interpret, and derive meaning from human language. Often regarded as an essential for data scientists, NLP machine learning offers a wide range of powerful techniques for text analytics.
During this 1-hour webinar, data scientist Ankit Prasad will walk you through the fundamentals of assessing the similarity of text documents using NLP with open source python code. The valuable NLP techniques that you will be taught in this webinar can be used to improve your assessment of hiring and recruiting, customer feedback and reviews, and even social media monitoring.
Overall, this webinar will be a great introduction of NLP for beginners. You will learn precisely how to:
- Understand the unique challenges of NLP
- Clean and preprocess text data for NLP
- Determine similarity across text data using a variation of word frequency (TF-IDF)
- Determine similarity across text data via LDA topic modeling
- Apply NLP techniques to improve customer segmentation
About the Speaker:
With a master’s degree in Business Analytics and approximately three years of working experience as an analytics consultant, Ankit Prasad brings a natural talent for data science to the table.
A master at data storytelling, Ankit enjoys leveraging cutting-edge machine learning technology to help organizations drive more strategic decision-making. He has worked on a wide range of data science projects for Fortune 500 clients, including demand forecasting models and natural language processing (NLP) for recommendation engines.
As a consultant for Tessellation, Ankit drives the development of data science solutions and educates clients about the building blocks of analytics and the potentials of machine learning to transform business. To follow his journey, you can connect with him on LinkedIn.