<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></abstract>

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.

Sapiness–sentiment analyser

Sapientia Hungarian University of Transylvania, Dept. Mathematics and Informatics, Târgu-Mureş

Acta Universitatis Sapientiae, Informatica

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Sapiness\u2013sentiment 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...

Sapiness–sentiment analyser

Publié en ligne: 22 janv. 2016

Pages: 186 - 199

Reçu: 05 nov. 2015

Accepté: 30 déc. 2015

DOI: https://doi.org/10.1515/ausi-2015-0018

© 2015 Katalin Tünde Jánosi-Rancz et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.