Text Feature Analysis
Text Feature Analysis is a methodological approach in discourse studies that systematically examines the structural, linguistic, and rhetorical elements of a text to identify patterns that reveal the author's purpose, distinguishing it from broader content analysis by focusing specifically on salient textual attributes that signify intent.
287
Publications
15.9K
Citations
943
Authors
359
Institutions
Publications per year
2017–2026
148
Parents
287
Generative Adversarial Text to Image Synthesis
Scott Reed, Zeynep Akata, Xinchen Yan et al. · arXiv (Cornell University) · 2016 · 1.4K citations · Full text
Generative Adversarial Text to Image Synthesis
Scott Reed, Zeynep Akata, Xinchen Yan et al. · Max Planck Digital Library · 2016 · 1.1K citations · Full text
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359
Carnegie Mellon University
Pittsburgh, United States
8 h-index
21 publications
898 citations
University of Southern California
Los Angeles, United States
5 h-index
12 publications
1.3K citations
University of Michigan
Ann Arbor, United States
5 h-index
13 publications
10.3K citations

Universiti Sains Malaysia
George Town, Malaysia
5 h-index
15 publications
1.8K citations

University of Edinburgh
Edinburgh, United Kingdom
4 h-index
6 publications
148 citations
The University of Texas at Austin
Austin, United States
4 h-index
7 publications
297 citations
Al-Balqa Applied University
Salt, Jordan
4 h-index
4 publications
288 citations
Columbia University
New York, United States
4 h-index
14 publications
1.3K citations
1–8 of 359
6 publications · 304 citations
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5 publications · 1K citations
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Repository · 5 publications · 1.6K citations
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5 publications · 340 citations
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3 publications · 317 citations
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