Text Classification Features
Text Classification Features is a methodological construct in text feature engineering that comprises distinct attributes derived from textual data to enable the differentiation and categorization of documents into predefined classes within a classification framework.
1.1K
Publications
64.1K
Citations
3.1K
Authors
1K
Institutions
Publications per year
2017–2026
543
Parents
1.1K
Sentiment analysis in multiple languages
Ahmed Abbasi, Hsinchun Chen, Arab Salem · ACM Transactions on Information Systems · 2008 · 894 citations
Computing, Arabic, Computer Science +17
1–5 of 1.1K
3.1K
9
h-index
6
h-index
6
h-index
5
h-index
5
h-index
1–5 of 3.1K
1K

Chinese Academy of Sciences
Beijing, China
13 h-index
38 publications
13.1K citations
Carnegie Mellon University
Pittsburgh, United States
13 h-index
39 publications
2.8K citations
University of Washington
Seattle, United States
11 h-index
29 publications
1.1K citations

Peking University
Beijing, China
9 h-index
18 publications
2.5K citations

Telkom University
Bandung, Indonesia
9 h-index
15 publications
390 citations

Beijing University of Posts and Telecommunications
Beijing, China
9 h-index
20 publications
797 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
8 h-index
11 publications
781 citations
Tsinghua University
Beijing, China
8 h-index
23 publications
928 citations
1–8 of 1K
26 publications · 3.6K citations
23
h-index
Repository · 35 publications · 2K citations
17
h-index
17 publications · 1K citations
16
h-index
13 publications · 1.1K citations
12
h-index
12 publications · 358 citations
11
h-index
1–5