Thesis Details
Crowdsourcingová tvorba datové sady pro rozpoznání struktury vyprávění
Goal of this work is creation of extensive dataset for recognition of narrative structure by crowdsourcing method. For this purpose, it was necessary to create a web interface which offers dataset of films for user annotation. The annotation of data gained from IMDb database is established on three different types of annotation. Users validate similarity of movies based on computation done by Sentence-BERT, extraction of keywords from movie plots done by RAKE and precomputed similarity between movies based on their keywords. User's gamification is based on points assignment, which are related with badges, achievements accomplishment and leader board of most successful users.
Crowdsourcing, gamification, web application, narrative similarity, keyword extraction, Sentence-BERT, RAKE, Angular
Bidlo Michal, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Fučík Otto, doc. Dr. Ing. (DCSY FIT BUT), člen
Lengál Ondřej, Ing., Ph.D. (DITS FIT BUT), člen
Szőke Igor, Ing., Ph.D. (DCGM FIT BUT), člen
@bachelorsthesis{FITBT22792, author = "Igor Ign\'{a}c", type = "Bachelor's thesis", title = "Crowdsourcingov\'{a} tvorba datov\'{e} sady pro rozpozn\'{a}n\'{i} struktury vypr\'{a}v\v{e}n\'{i}", school = "Brno University of Technology, Faculty of Information Technology", year = 2020, location = "Brno, CZ", language = "czech", url = "https://www.fit.vut.cz/study/thesis/22792/" }