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Home | News | Oded Netzer (Columbia University, United States) presents paper on Using text for Business Insights on August 31
News | August 30, 2021

Oded Netzer (Columbia University, United States) presents paper on Using text for Business Insights on August 31

On August 31 at 15:00 CEST, Oded Netzer (Columbia University, United States) will present the paper 'Using text for Business Insights' in our joint Marketing Science Seminar series at Business Data Science (VU, UvA, and ESE).

Oded Netzer (Columbia University, United States) presents paper on Using text for Business Insights on  August 31

Program
15:00-15:30: Presentation - Oded Netzer (Columbia University, United States) (online seminar)
15:30-16:30: Discussion with the speaker

There will be 30 minutes of presentation, and roughly an hour of post-discussion with the research master and PhD students. Should you want to be present for this post-discussion (a “look behind the scenes”), feel free to let us know at seminar@businessdatascience.nl.

This seminar is part of the joint Marketing Seminars Series at Business Data Science (VU, UvA, and ESE) with a fantastic line-up of speakers that will present their research online in the Marketing Science elective course and seminar series. Please send an email to seminar@businessdatascience.nl if you are interested to participate in this seminar (series) and are not yet on the mailing list. View all upcoming seminars in our events calendar.

Abstract
Based on some estimates 80-95% of all data available to businesses are unstructured including text, image, video and audio data. Specifically, textual data and words are ubiquitous in almost every marketplace interaction from user generated content to company reports, to service interactions and marketing communications. These interactions create a wealth of textual data. This data source is on the one hand exciting and rich, but on the other hand, by it its unstructured nature, difficult to decode and derive insights from. How can business leaders best use such data? This talk will discuss several papers that explore the use of textual data for business decision making.