Text analysis has become increasingly important for psychological research, and measuring psychological and demographic properties using computational text analysis is slowly becoming a field norm.
Though several limited-method tools for text analysis are already available (e.g. LIWC), and some have become part of standard statistical packages (e.g., SPSS Text Analytics), a unified, open-source architecture for gathering, managing and analyzing text does not exist.
The Computational Social Science Lab (CSSL) at the University of Southern California introduces TACIT: An Open-Source Text Analysis, Crawling and Interpretation Tool.
TACIT's plugin architecture has three main components:
TACIT's open-source plugin platform allows the architecture to easily adapt to today's rapid developments in text analysis.
Dehghani, M., Johnson, K., M., Garten, J., Boghrati, R., Hoover, J.,
Balasubramanian, V., Singh, A., Shankar, Y., Pulickal, L., Rajkumar, A., and Parmar, N. J. (2016).
TACIT: An Open-Source Text Analysis, Crawling and Interpretation Tool.
Behavior Research Methods,
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