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CNKI学位论文(25)

知网期刊论文(38)

在“SpringerLink电子期刊”中，命中：29条，耗时：小于0.01 秒

在所有数据库中总计命中：63条

1. Application of the distributed document representation in the authorship attribution task for small corpora

作者： Juan-Pablo Posadas-Durán ; Helena Gómez-Adorno ; Grigori Sidorov…

关键词：Distributed representation ; Authorship attribution ; Author identification ; Embeddings ; Word embeddings ; Stylometry ; Machine learning ; SVM ; Scarce training data

刊名：Soft Computing

出版年：2017

2. Supervised classification of spam emails with natural language stylometry

作者： Rushdi Shams ; Robert E. Mercer

关键词：Spam classification ; Natural language processing ; Stylometry ; Supervised machine learning ; Text classification ; Computational linguistics ; Text mining ; Performance evaluation

刊名：Neural Computing & Applications

出版年：2016

3. Application of Stylometry to DarkWeb Forum User Identification

关键词：Dark Web ; Stylometry ; Support vector machine

刊名：Lecture Notes in Computer Science

出版年：2016

4. Building Corpora for Stylometric Research

关键词：Authorship corpora ; Stylometry ; Web structure detection ; Corpora building

刊名：Lecture Notes in Computer Science

出版年：2016

5. Digital Stylometry: Linking Profiles Across Social Networks

关键词：Stylometry ; Profile matching ; Social networks ; Linguistic ; Temporal

刊名：Lecture Notes in Computer Science

出版年：2015

6. Ranking of characteristic features in combined wrapper approaches to selection

作者： Urszula Stańczyk

关键词：Feature ranking ; Feature selection and reduction ; Wrapper ; Filter ; Sequential backward search ; Stylometry

刊名：Neural Computing & Applications

出版年：2015

7. Author Attribution of Email Messages Using Parse-Tree Features

关键词：Stylometry ; Emails ; Author attribution ; Grammar productions

刊名：Lecture Notes in Computer Science

出版年：2015

8. Secure Obfuscation of Authoring Style

关键词：Obfuscation ; Stylometry ; Privacy ; Anonymity

刊名：Lecture Notes in Computer Science

出版年：2015

9. Using Stylometric Features for?Sentiment?Classification

刊名：Lecture Notes in Computer Science

出版年：2015

10. Refined Distractor Generation with LSA and Stylometry for Automated Multiple Choice Question Generation

作者：Josef Robert Moser (21) (23)
Christian Gütl (21) (22)
Wei Liu (23)

关键词：Automated Multiple ; Choice Question Generation ; Distractors ; Text Processing ; Latent Semantic Analysis ; Stylometry

刊名：Lecture Notes in Computer Science

出版年：2012

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