Language-Independent Sentiment Analysis with Surrounding Context Extension
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F29142890%3A_____%2F15%3A%230000225" target="_blank" >RIV/29142890:_____/15:#0000225 - isvavai.cz</a>
Alternative codes found
RIV/61384399:31160/15:00046829
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Language-Independent Sentiment Analysis with Surrounding Context Extension
Original language description
This paper aims to contribute to this field and introduces an experiment utilizing a language- and domain-independent model for sentiment analysis. The model has been previously tested on multiple corpora, providing a trade-off between generality and theclassification performance of the model. In this paper, we suggest a further extension of the model utilizing the surrounding context of the classified documents.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
AE - Management, administration and clerical work
OECD FORD branch
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Result continuities
Project
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Continuities
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
SOCIAL COMPUTING AND SOCIAL MEDIA, SCSM 2015
ISBN
978-3-319-20367-6
ISSN
0302-9743
e-ISSN
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Number of pages
11
Pages from-to
158-168
Publisher name
SPRINGER-VERLAG BERLIN
Place of publication
Germany
Event location
USA, Los Angeles
Event date
Jan 1, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000364813200017