Analyzing Text Data
2 Pages Posted: 22 Jul 2014
Date Written: July 22, 2014
Abstract
This roundtable will provide attendees with an introduction to the theoretical and practical details of methods for analyzing text as data. After an overview of different classes of methods for text data, topics will include data acquisition and cleaning, scaling textual content, classification of documents by topics, and the analysis of sentiment. Presentations will include discussions of software and practical examples.
Keywords: text, data, machine learning, topic models, scaling, sentiment analysis
Suggested Citation: Suggested Citation
Zorn, Christopher, Analyzing Text Data (July 22, 2014). Available at SSRN: https://ssrn.com/abstract=2469995 or http://dx.doi.org/10.2139/ssrn.2469995
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