Text Vectorization
Text Vectorization is a text feature engineering method that transforms unstructured textual data into numerical vector representations while preserving semantic or syntactic relationships for machine learning applications.
181
Publications
7.4K
Citations
547
Authors
243
Institutions
Publications per year
2017–2026
116
Variants
Textual VectorisationTextual Vectorization
Parents
181
Fake News Detection Using Machine Learning Approaches
Zeba Khanam, B N Alwasel, H Sirafi et al. · IOP Conference Series Materials Science and Engineering · 2021 · 280 citations · Full text
Arman Khadjeh Nassirtoussi, Saeed Aghabozorgi, Teh Ying Wah et al. · Expert Systems with Applications · 2014 · 276 citations
Using Word2Vec to process big text data
Long Ma, Yanqing Zhang · 2015 · 225 citations
Extractive Summarization using Continuous Vector Space Models
Mikael Kågebäck, Olof Mogren, Nina Tahmasebi et al. · 2014 · 184 citations · Full text
1–5 of 181
547
4
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 547
243
Stanford University
Stanford, United States
5 h-index
11 publications
281 citations

Beijing University of Posts and Telecommunications
Beijing, China
4 h-index
7 publications
131 citations

University of Calgary
Calgary, Canada
3 h-index
12 publications
228 citations

Capital Normal University
Beijing, China
3 h-index
8 publications
300 citations
University College London
London, United Kingdom
3 h-index
5 publications
240 citations

Telkom University
Bandung, Indonesia
2 h-index
5 publications
70 citations
Daffodil International University
Dhaka, Bangladesh
2 h-index
6 publications
96 citations

Wrocław University of Science and Technology
Wroclaw, Poland
2 h-index
9 publications
164 citations
1–8 of 243
Repository · 7 publications · 164 citations
7
h-index
5 publications · 100 citations
5
h-index
4 publications · 205 citations
4
h-index
3 publications · 78 citations
3
h-index
2 publications · 68 citations
2
h-index
1–5