Sentiment Analysis in Czech

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F17%3A10372094" target="_blank" >RIV/00216208:11320/17:10372094 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Sentiment Analysis in Czech

Popis výsledku v původním jazyce

The study introduces latest research findings from the area of machine processing of Czech emotional language data. First, it provides an analysis of language means which together form an emotional meaning of written utterances in Czech. Second, it employs the findings concerning emotional language in computational applications. The author provides a systematic overview of lexical, morphosyntactic, semantic and pragmatic aspects of emotional meaning in Czech utterances. Also, she proposes two formal representations of emotional structures within the framework of the Prague Dependency Treebank and Construction Grammar. Regarding the computational applications, the study focuses on sentiment analysis, i.e. automatic extraction of emotions from text. It describes a creation of manually annotated emotional data resources in Czech and performs main sentiment analysis tasks, such as e.g. polarity classification and opinion target identification on Czech data, employing the up-to-date methods of natural lang

Název v anglickém jazyce

Sentiment Analysis in Czech

Popis výsledku anglicky

The study introduces latest research findings from the area of machine processing of Czech emotional language data. First, it provides an analysis of language means which together form an emotional meaning of written utterances in Czech. Second, it employs the findings concerning emotional language in computational applications. The author provides a systematic overview of lexical, morphosyntactic, semantic and pragmatic aspects of emotional meaning in Czech utterances. Also, she proposes two formal representations of emotional structures within the framework of the Prague Dependency Treebank and Construction Grammar. Regarding the computational applications, the study focuses on sentiment analysis, i.e. automatic extraction of emotions from text. It describes a creation of manually annotated emotional data resources in Czech and performs main sentiment analysis tasks, such as e.g. polarity classification and opinion target identification on Czech data, employing the up-to-date methods of natural lang

Druh

B - Odborná kniha

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

ISBN

978-80-88132-03-5

Počet stran knihy

159

Název nakladatele

Institute of formal and applied linguistics, Charles University in Prague

Místo vydání

Prague, Czech Republic

Kód UT WoS knihy

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