EMOTION RECOGNITION IN POLISH TEXTS BASED ON KEYWORDS DETECTION METHOD


Abstract

Dynamic development of social networks caused that the Internet has become the most popular communication medium. A vast majority of the messages are exchanged in text format and very often reflect authors’ emotional states. Detection of the emotions in text is widely used in e-commerce or telemedicine becoming the milestone in the field of human-computer interaction. The paper presents a method of emotion recognition in Polish-language texts based on the keywords detection algorithm with lemmatization. The obtained accuracy is about 60%. The first Polish-language database of keywords expressing emotions has been also developed.


Keywords

emotion recognition; human computer interaction; natural language processing; text processing

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Published : 2017-06-30


Nowaczyk, A. M., & Jackowska-Strumiłło, L. (2017). EMOTION RECOGNITION IN POLISH TEXTS BASED ON KEYWORDS DETECTION METHOD. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 7(2), 102-105. https://doi.org/10.5604/01.3001.0010.4849

Adrian Maciej Nowaczyk  amnowaczyk@gmail.com
Politechnika Łódzka, Instytut Informatyki Stosowanej   Poland
Lidia Jackowska-Strumiłło 
Politechnika Łódzka, Instytut Informatyki Stosowanej   Poland