Learning stylometric representations for authorship analysis

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%