Big Social Data Analytics in Journalism and Mass Communication: Comparing Dictionary-Based Text Analysis and Unsupervised Topic Modeling

Chris J. Vargo
Chris J. Vargo
Zixuan Pan
Zixuan Pan

Journalism & Mass Communication Quarterly, pp. 332-359, 2016.

Cited by: 106|Bibtex|Views2|

Abstract:

This article presents an empirical study that investigated and compared two “big data” text analysis methods: dictionary-based analysis, perhaps the most popular automated analysis approach in social science research, and unsupervised topic modeling (i.e., Latent Dirichlet Allocation [LDA] analysis), one of the most widely used algorithms...More

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