Modern computational models of semantic discovery in natural languages / Jan �Zi�zka and Frantisek Darena, editors. - PDFs (334 pages) : illustrations.

Includes bibliographical references and index.

Sentiment classification: Facebook' statuses mining in the "Arabic Spring" era / Jalel Akaichi -- Model of the empirical distribution law for syntactic and link words in "perfect" texts / Pavel Makagonov -- Extracting definitional contexts in Spanish through the identification of hyponymy-hyperonymy relations / Olga Acosta, Gerardo Sierra, C�esar Aguilar -- Revealing groups of semantically close textual documents by clustering: problems and possibilities / Frantisek Darena, Jan Zizka -- Semantics-based document categorization employing semi-supervised learning / Jan Zizka, Frantisek Darena -- Natural language processing as feature extraction method for building better predictive models / Goran Klepac, Marko Velic -- Departing the ontology layer cake / Abel Browarnik, Oded Maimon -- Semantics of techno-social spaces / Sergey Maruev, Dmitry Stefanovskyi, Alexander Troussov -- Translational mismatches involving clitics (illustrated from Serbian-Catalan language pair) / Jasmina Milicevic, �Angels Catena -- Machine translation within commercial companies / Tom�as Hud�ik -- A corpus-stylistic approach of the treatises of Great Athanasius about idolatry / Georgios Alexandropoulos.

Restricted to subscribers or individual electronic text purchasers.

"This book compiles and reviews the most prominent linguistic theories into a single source that serves as an essential reference for future solutions to one of the most important challenges of our age"--Provided by publisher.




Mode of access: World Wide Web.

9781466686915

10.4018/978-1-4666-8690-8 doi




Semantics--Data processing.
Natural language processing.
Computational linguistics.

Arab Spring and media Artificial intelligence Corpus stylistics Linguistics Machine translation Ontology Sentiment analysis Statistics Syntax


Electronic books.

P325.5.D38 / M63 2015e

401/.430285