| Literature DB >> 26944580 |
Morteza Dehghani1, Kate M Johnson2, Justin Garten2, Reihane Boghrati2, Joe Hoover2, Vijayan Balasubramanian2, Anurag Singh2, Yuvarani Shankar2, Linda Pulickal2, Aswin Rajkumar2, Niki Jitendra Parmar2.
Abstract
As human activity and interaction increasingly take place online, the digital residues of these activities provide a valuable window into a range of psychological and social processes. A great deal of progress has been made toward utilizing these opportunities; however, the complexity of managing and analyzing the quantities of data currently available has limited both the types of analysis used and the number of researchers able to make use of these data. Although fields such as computer science have developed a range of techniques and methods for handling these difficulties, making use of those tools has often required specialized knowledge and programming experience. The Text Analysis, Crawling, and Interpretation Tool (TACIT) is designed to bridge this gap by providing an intuitive tool and interface for making use of state-of-the-art methods in text analysis and large-scale data management. Furthermore, TACIT is implemented as an open, extensible, plugin-driven architecture, which will allow other researchers to extend and expand these capabilities as new methods become available.Entities:
Keywords: Automated text analysis; Computational linguistics; Corpus analysis tools; Language-based assessment
Mesh:
Year: 2017 PMID: 26944580 DOI: 10.3758/s13428-016-0722-4
Source DB: PubMed Journal: Behav Res Methods ISSN: 1554-351X