With the advent of voice-based assistants and chatbots in our homes, our phones, and our computers, businesses, stakeholders, and developers want to learn about language processing. But it’s still unclear to many how exactly these devices understand human language, how they can interpret similar intents even when different words are used, and what NLP means and what steps are involved.
Join Grishma Jena for an introduction to NLP using Python. You’ll start with with textual data and learn how to process it to derive useful insights that can be used in real-world applications. Sample applications include sentiment analysis, topic modeling, and similarity detection.
Grishma Jena is a data scientist on the UX research and design team at IBM Data & AI in San Francisco. She works across portfolios in conjunction with the user research and design teams and uses data to understand users’ struggles. Previously, she was a mentor for the nonprofit AI4ALL’s AI Project Fellowship, where she guided a group of high school students on using AI for prioritizing 911 EMS calls. Grishma also teaches Python at the San Francisco Public Library. She enjoys delivering talks and is passionate about encouraging women and youngsters in technology. She holds a master’s degree in computer science from the University of Pennsylvania. Her research interests include machine learning and natural language processing.
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