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Data By the Bay is the first Data Grid conference matrix with 6 vertical application areas  spanned by multiple horizontal data pipelines, platforms, and algorithms.  We are unifying data science and data engineering, showing what really works to run businesses at scale.
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Tuesday, May 17 • 9:50am - 10:30am
Identifying Actionable Messages on Social Media

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Text actionability detection is the problem of classifying user authored natural language text, according to whether it can be acted upon by a responding agent. In this paper, we propose a supervised learning framework for domain-aware, large-scale actionability classification of social media messages. We derive lexicons, perform an in-depth analysis for over 25 text based features, and explore strategies to handle domains that have limited training data. We apply these methods to over 46 million messages spanning 75 companies and 35 languages, from both Facebook and Twitter. The models achieve an aggregate population-weighted F measure of 0.78 and accuracy of 0.74, with values of over 0.9 in some cases.

Speakers
avatar for Nemanja Spasojevic

Nemanja Spasojevic

Director Of Data Science, Lithium Technologies | Klout
Nemanja Spasojevic is the Director of Data Science at Lithium Technologies. He graduated from Massachusetts Institute of Technology and previously worked on the Google Books project, making all of the world’s knowledge accessible online.



Tuesday May 17, 2016 9:50am - 10:30am
Markov

Attendees (13)