The impact of figurative language on sentiment analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F17%3A43949735" target="_blank" >RIV/49777513:23520/17:43949735 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.26615/978-954-452-049-6_041" target="_blank" >http://dx.doi.org/10.26615/978-954-452-049-6_041</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.26615/978-954-452-049-6_041" target="_blank" >10.26615/978-954-452-049-6_041</a>
Alternative languages
Result language
angličtina
Original language name
The impact of figurative language on sentiment analysis
Original language description
Figurative language such as irony, sarcasm, and metaphor is considered a significant challenge in sentiment analysis. These figurative devices can sculpt the affect of an utterance and test the limits of sentiment analysis of supposedly literal texts. We explore the effect of figurative language on sentiment analysis. We incorporate the figurative language indicators into the sentiment analysis process and compare the results with and without the additional information about them. We evaluate on the SemEval-2015 Task 11 data and outperform the first team with our convolutional neural network model and additional training data in terms of mean squared error and we follow closely behind the first place in terms of cosine similarity.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20204 - Robotics and automatic control
Result continuities
Project
<a href="/en/project/LO1506" target="_blank" >LO1506: Sustainability support of the centre NTIS - New Technologies for the Information Society</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017
ISBN
978-954-452-048-9
ISSN
1313-8502
e-ISSN
neuvedeno
Number of pages
8
Pages from-to
301-308
Publisher name
INCOMA Ltd.
Place of publication
Shoumen, BULGARIA
Event location
Varna, Bulgaria
Event date
Sep 2, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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