Text and Sentiment Analysis Using Python and R

Apr 12, 2018 · Pittsburgh, United States of America

In this hour-long session, Tom Foster will guide us through text mining and sentiment analysis techniques applied to Amazon reviews. He’ll cover data scraping and munging, and explore the differences between the positive and negative comments using common NLP techniques, word associations and k-means clustering. Code will be implemented with both Python and R, and we’ll delve into differences between them as well.

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  • Pittsburgh Machine Learners

    We are a co-learning group open to members of all experience levels. Our goal is to support one another in learning ML topics. Github: The PghML github organization is a place to share code examples with the group. https://github.com/Pittsburgh-Machine-Learners Slack: For those of you that may not be familiar with slack, it's a real-time searchable group chat with great web and native clients. The PghML group is here: http://pgh-ml.slack.com

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