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Data Science MD: Getting Started with NLP, Sentiment Analysis and OpenNLP

Data Science MD: Getting Started with NLP, Sentiment Analysis and OpenNLP

Tim Finin, 7:53am 15 June 2017

The topic of this month’s Data Science MD meetup isĀ Getting Started with NLP, Sentiment Analysis and OpenNLP. The meeting will be 6:30-9:00pm, Monday, June 19 in Building 200 Room E100 at the JHU Applied Physics Laboratory. The meeting starts with networking and food and feature talks by two practitioners.

Brian Sacash (Deloitte & Touche): NLP and Sentiment Analysis

Natural Language Processing, the analysis of language, can be challenging if you don’t know where to start. Brian will walk through the Natural Language Tool Kit (NLTK), a Python library built for language analysis, and cover its core functionality. Through live coding he will demonstrate how to build a simple sentiment analysis engine from scratch.

Daniel Russ (NIH): It Takes a Village To Solve A Problem in Data Science

The talk will discuss a scientific case study in data science, computer-based occupational coding of free text job histories taken during epidemiological research studies. Beginning with a rationale for occupational coding, how the coding is performed, and how SOCcer is built on top of Apache OpenNLP. Throughout the talk, I will try to emphasize the importance of working as an interdisciplinary team.

See the meetup announcement to RSVP and get directions and more information.


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