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Learning stylometric representations for authorship analysis
Steven H.H. Ding
*
, Benjamin C.M. Fung
, Farkhund Iqbal
,
Kwok Wai CHEUNG
*
Corresponding author for this work
Department of Computer Science
Research output
:
Contribution to journal
›
Journal article
›
peer-review
73
Citations (Scopus)
Overview
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Keyphrases
Authorship Analysis
100%
Writing Style
66%
Paragraph Vector
66%
Authorship Attribution
66%
Feature Vector
33%
Linguistic Features
33%
Twitter
33%
Blogs
33%
Unveiling
33%
Text Data
33%
Latent Dirichlet Allocation
33%
Bag of Visual Words (BoVW)
33%
Engineering Process
33%
Neural Network Method
33%
Identity Characteristics
33%
Hidden Property
33%
Style Representation
33%
Distributed Word Representation
33%
Characteristic-based
33%
Feature Engineering
33%
Psycholinguistics
33%
Latent Semantic Analysis
33%
Character-level
33%
N-gram
33%
Text Representation
33%
Author's Identity
33%
Manual Features
33%
Word2vec Representation
33%
Composition Process
33%
Sociolinguistic Characteristics
33%
Lexical Level
33%
Political Socialization
33%
Cybercrime Investigation
33%
Distributed Storage of Models
33%
Computer Science
Authorship Analysis
100%
Feature Vector
33%
Latent Dirichlet Allocation
33%
Word2vec
33%
Cybercrime
33%
Memory Model
33%
Political Socialization
33%
Text Representation
33%
Distributed Memory
33%
Neural Network Approach
33%
Feature Engineering
33%