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

Zorn, Christopher J., Analyzing Text Data (July 22, 2014). Available at SSRN: https://ssrn.com/abstract=2469995 or http://dx.doi.org/10.2139/ssrn.2469995

Christopher J. Zorn (Contact Author)

Pennsylvania State University ( email )

University Park
State College, PA 16802
United States

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