Sapiness–sentiment analyser
In our ever-evolving world, the importance of social networks is bigger now than ever. The purpose of this paper is to develop a sentiment analyzer for the Hungarian language, which we can then use to analyze any text and conduct further experiments. One such experiment is an application which can i...
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| Format: | Article |
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Sciendo
2015-12-01
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| Series: | Acta Universitatis Sapientiae: Informatica |
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| Online Access: | https://doi.org/10.1515/ausi-2015-0018 |
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doaj-01be20a69694449fb4732d22c38cde9a2021-09-06T19:40:19ZengSciendoActa Universitatis Sapientiae: Informatica2066-77602015-12-017218619910.1515/ausi-2015-0018ausi-2015-0018Sapiness–sentiment analyserJánosi-Rancz Katalin Tünde0Kátai Zoltán1Bogosi Roland2Sapientia Hungarian University of Transylvania, Dept. Mathematics and Informatics, Târgu-MureşSapientia Hungarian University of Transylvania, Dept. Mathematics and Informatics, Târgu-MureşSapientia Hungarian University of Transylvania, Dept. Mathematics and Informatics, Târgu-MureşIn our ever-evolving world, the importance of social networks is bigger now than ever. The purpose of this paper is to develop a sentiment analyzer for the Hungarian language, which we can then use to analyze any text and conduct further experiments. One such experiment is an application which can interface with social networks, and run sentiment analysis on the logged-in users friends’ posts and comments, while the other experiment is the use of sentiment analysis in order to visualize the evolution of relationships between characters in a text.https://doi.org/10.1515/ausi-2015-0018g.2.268r15social networkssentiment analysissemantic webpredictionclassification |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Jánosi-Rancz Katalin Tünde Kátai Zoltán Bogosi Roland |
| spellingShingle |
Jánosi-Rancz Katalin Tünde Kátai Zoltán Bogosi Roland Sapiness–sentiment analyser Acta Universitatis Sapientiae: Informatica g.2.2 68r15 social networks sentiment analysis semantic web prediction classification |
| author_facet |
Jánosi-Rancz Katalin Tünde Kátai Zoltán Bogosi Roland |
| author_sort |
Jánosi-Rancz Katalin Tünde |
| title |
Sapiness–sentiment analyser |
| title_short |
Sapiness–sentiment analyser |
| title_full |
Sapiness–sentiment analyser |
| title_fullStr |
Sapiness–sentiment analyser |
| title_full_unstemmed |
Sapiness–sentiment analyser |
| title_sort |
sapiness–sentiment analyser |
| publisher |
Sciendo |
| series |
Acta Universitatis Sapientiae: Informatica |
| issn |
2066-7760 |
| publishDate |
2015-12-01 |
| description |
In our ever-evolving world, the importance of social networks is bigger now than ever. The purpose of this paper is to develop a sentiment analyzer for the Hungarian language, which we can then use to analyze any text and conduct further experiments. One such experiment is an application which can interface with social networks, and run sentiment analysis on the logged-in users friends’ posts and comments, while the other experiment is the use of sentiment analysis in order to visualize the evolution of relationships between characters in a text. |
| topic |
g.2.2 68r15 social networks sentiment analysis semantic web prediction classification |
| url |
https://doi.org/10.1515/ausi-2015-0018 |
| work_keys_str_mv |
AT janosiranczkatalintunde sapinesssentimentanalyser AT kataizoltan sapinesssentimentanalyser AT bogosiroland sapinesssentimentanalyser |
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1717768754054561792 |