Introduction to the Special Issue: Data-Driven Approaches to Research and Teaching in Professional and Technical Communication

The quest to understand the nuances of professional communication using computational tools have continued since, and many researchers in our field have embraced the new interdisciplinary approach now known as data science. Our quick metadata search on the journals and conference proceedings in tech...

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Bibliographic Details
Published in:IEEE transactions on professional communication 2018-12, Vol.61 (4), p.352-355
Main Authors: Boettger, Ryan K., Ishizaki, Suguru
Format: Article
Language:English
Subjects:
Analytics
Artificial intelligence
Big Data
Communication
Computation
Computational linguistics
Content analysis
Corpus analysis
Corpus linguistics
Data analysis
Data management
Data mining
Data models
Linguistics
Network analysis
Professional communication
Software
Special issues and sections
Technical information
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Summary:The quest to understand the nuances of professional communication using computational tools have continued since, and many researchers in our field have embraced the new interdisciplinary approach now known as data science. Our quick metadata search on the journals and conference proceedings in technical and professional communication (TPC) revealed an increasing number of articles associated with terms commonly used in data science (e.g., big data, content analysis, text mining, sentiment analysis, topic modeling, network analysis) originating from numerous disciplines (e.g., corpus linguistics, computational linguistics, artificial intelligence, statistics, business analytics). Yet, the field of TPC is just beginning to embrace the power of data-driven approaches. This special issue extends Orr’s work by taking a snapshot of current work in data-driven approaches to the study of TPC.
ISSN:0361-1434
1558-1500
DOI:10.1109/TPC.2018.2870547