Machine Learning Methods for Stylometry

Authorship Attribution and Author Profiling

Inbunden, Engelska, 2020

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As deep learning represents an active field of research, information on neural network models and word embeddings applied to stylometry is provided, as well as a general introduction to the deep learning approach to solving stylometric questions.

Produktinformation

Utgivningsdatum2020-09-29
Mått155 x 235 x 23 mm
Vikt629 g
FormatInbunden
SpråkEngelska
Antal sidor286
Upplaga20001
FörlagSpringer Nature Switzerland AG
ISBN9783030533595

Tillhör följande kategorier

Språkvetenskap och lingvistik inom Sprak och ordbocker
Systemvetenskap och AI inom Data och it
Referensverk och tvärvetenskap inom Samhalle och politik
Databaser inom Data och it

Jacques Savoy is a Full Professor of Computer Science at the University of Neuchatel (Switzerland). His research interests mainly include natural language processing and particularly information retrieval for languages other than English (European, Asian, and Indian) as well as multilingual and cross-lingual information retrieval. For many years he has participated in various evaluations campaigns (TREC, CLEF, NTCIR, FIRE) dealing with these questions. His current research interests focus on the statistical modeling and evaluation of natural language processing such as text clustering and categorization, as well as authorship attribution.

Part I: Fundamental Concepts and Models.- 1. Introduction to Stylistic Models and Applications.- 2. Basic Lexical Concepts and Measurements.- 3. Distance-Based Approaches.- Part II: Advanced Models and Evaluation.- 4. Evaluation Methodology and Test Corpora.- 5. Features Identification and Selection.- 6. Machine Learning Models.- 7. Advanced Models for Stylometric Applications.- Part III: Cases Studies.- 8. Elena Ferrante: A Case Study in Authorship Attribution.- 9. Author Profiling of Tweets.- 10. Applications to Political Speeches.- 11. Conclusion.