Computer Science
Classification Models
100%
Robust Approach
100%
Random Decision Forest
100%
Annotation
50%
Phonological Information
50%
Authorship Attribution
50%
Lexical Information
50%
Support Vector Machine
50%
Text Classification
50%
Word Length
50%
Arts and Humanities
Motifs
100%
Stylometrics
100%
Authors
100%
Lexical
66%
Phonological
66%
On-set
33%
Mandarin Chinese
33%
Word Length
33%
Keyphrases
Rime
100%
Stylometric Analysis
100%
Author Attribution
100%
Robust Approach
25%
Random Forest
25%
Mandarin Chinese
12%
Phonological Information
12%
Support Vector Machine
12%
Classification Model
12%
Bigram
12%
Sublexical
12%
Authorship Attribution
12%
Phoneme Inventories
12%
Text Classification Model
12%
Lexical Information
12%
Word Length Motif
12%
Innovative Approach
12%
Motif's Length
12%
Earth and Planetary Sciences
Support Vector Machine
100%