Pregled bibliografske jedinice broj: 1124431
TakeLab at SemEval-2017 Task 4: Recent deaths and the power of nostalgia in sentiment analysis in Twitter
TakeLab at SemEval-2017 Task 4: Recent deaths and the power of nostalgia in sentiment analysis in Twitter // Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
Vancouver, Kanada, 2017. str. 784-789 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1124431 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
TakeLab at SemEval-2017 Task 4: Recent deaths and the power of nostalgia in sentiment analysis in Twitter
Autori
Lozić, David ; Šarić, Doria ; Tokić, Ivan ; Medić, Zoran ; Šnajder, Jan
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
/ - , 2017, 784-789
Skup
The 11th International Workshop on Semantic Evaluation (SemEval-2017)
Mjesto i datum
Vancouver, Kanada, 03.08.2017. - 04.08.2017
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
sentiment analysis ; twitter
Sažetak
This paper describes the system we submitted to SemEval-2017 Task 4 (Sentiment Analysis in Twitter), specifically subtasks A, B, and D. Our main focus was topic-based message polarity classification on a two-point scale (subtask B). The system we submitted uses a Support Vector Machine classifier with rich set of features, ranging from standard to more creative, task-specific features, including a series of rating-based features as well as features that account for sentimental reminiscence of past topics and deceased famous people. Our system ranked 14th out of 39 submissions in subtask A, 5th out of 24 submissions in subtask B, and 3rd out of 16 submissions in subtask D.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
