IMG_20180428_105147 Topic modeling presentation at Natural Language Processing hackathon
Becky, a data scientist that does Natural Language Processing for an Austin company, talks about topic modeling at a NLP hackathon in April of 2018, hosted by Women in Data Science Austin.
"Common models attempt to find some topic stucture in documents.
Models find probability that words occur together and then they are grouped into topics.
Topic modeling, along with sentiment analysis and summarization, are the three cornerstone approaches in Natural Language Processing. The attendees arranged themselves into three teams along those lines. I ended up in the summarization team, which, as Becky explained, can be extractive or abstractive. We wrote Python code to summarize wine reviews, and by that I mean we called a bunch of functions from various Python packages. The results were mixed.
Here is a link to my whole article on the Women in Data Science Natural Language Processing hackathon.