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This book presents methods and approaches used to identify the true
author of a doubtful document or text excerpt. It provides a broad
introduction to all text categorization problems (like authorship
attribution, psychological traits of the author, detecting fake
news, etc.) grounded in stylistic features. Specifically, machine
learning models as valuable tools for verifying hypotheses or
revealing significant patterns hidden in datasets are presented in
detail. Stylometry is a multi-disciplinary field combining
linguistics with both statistics and computer science. The content
is divided into three parts. The first, which consists of the first
three chapters, offers a general introduction to stylometry, its
potential applications and limitations. Further, it introduces the
ongoing example used to illustrate the concepts discussed
throughout the remainder of the book. The four chapters of the
second part are more devoted to computer science with a focus on
machine learning models. Their main aim is to explain machine
learning models for solving stylometric problems. Several general
strategies used to identify, extract, select, and represent
stylistic markers are explained. 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. In turn, the third part illustrates the
application of the previously discussed approaches in real cases:
an authorship attribution problem, seeking to discover the secret
hand behind the nom de plume Elena Ferrante, an Italian writer
known worldwide for her My Brilliant Friend's saga; author
profiling in order to identify whether a set of tweets were
generated by a bot or a human being and in this second case,
whether it is a man or a woman; and an exploration of stylistic
variations over time using US political speeches covering a period
of ca. 230 years. A solutions-based approach is adopted throughout
the book, and explanations are supported by examples written in R.
To complement the main content and discussions on stylometric
models and techniques, examples and datasets are freely available
at the author's Github website.
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Experimental IR Meets Multilinguality, Multimodality, and Interaction - 10th International Conference of the CLEF Association, CLEF 2019, Lugano, Switzerland, September 9-12, 2019, Proceedings (Paperback, 1st ed. 2019)
Fabio Crestani, Martin Braschler, Jacques Savoy, Andreas Rauber, Henning Muller, …
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R2,243
Discovery Miles 22 430
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the 10th
International Conference of the CLEF Association, CLEF 2019, held
in Lugano, Switzerland, in September 2019.The conference has a
clear focus on experimental information retrieval with special
attention to the challenges of multimodality, multilinguality, and
interactive search ranging from unstructured to semi structures and
structured data. The 7 full papers and 8 short papers presented in
this volume were carefully reviewed and selected from 30
submissions. This year, many contributions tackle the social
networks with the detection of stances or early identification of
depression signs on Twitter in a cross-lingual context. Further
this volume presents 7 "best of the labs" papers which were
reviewed as a full paper submission with the same review criteria.
The labs represented scientific challenges based on new data sets
and real world problems in multimodal and multilingual information
access. In addition to this, 9 benchmarking labs reported results
of their yearlong activities in overview talks and lab sessions.
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Experimental IR Meets Multilinguality, Multimodality, and Interaction - 6th International Conference of the CLEF Association, CLEF'15, Toulouse, France, September 8-11, 2015, Proceedings (Paperback, 2015 ed.)
Josanne Mothe, Jacques Savoy, Jaap Kamps, Karen Pinel-Sauvagnat, Gareth Jones, …
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R3,334
Discovery Miles 33 340
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the 6th
International Conference of the CLEF Initiative, CLEF 2015, held in
Toulouse, France, in September 2015. The 31 full papers and 20
short papers presented were carefully reviewed and selected from 68
submissions. They cover a broad range of issues in the fields of
multilingual and multimodal information access evaluation, also
included are a set of labs and workshops designed to test different
aspects of mono and cross-language information retrieval systems.
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