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Pregled bibliografske jedinice broj: 930985

Predicting News Values from Headline Text and Emotions


di Buono, Maria Pia; Šnajder, Jan; Dalbelo Bašić, Bojana; Glavaš, Goran; Tutek, Martin; Milic-Frayling, Nataša
Predicting News Values from Headline Text and Emotions // Proceedings of the 2017 EMNLP Workshop on Natural Language Processing Meets Journalism
Copenhagen, Danska, 2017. str. 1-6 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Predicting News Values from Headline Text and Emotions

Autori
Di Buono, Maria Pia ; Šnajder, Jan ; Dalbelo Bašić, Bojana ; Glavaš, Goran ; Tutek, Martin ; Milic-Frayling, Nataša

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 2017 EMNLP Workshop on Natural Language Processing Meets Journalism / - , 2017, 1-6

Skup
2017 EMNLP Workshop on Natural Language Processing Meets Journalism

Mjesto i datum
Copenhagen, Danska, 7-11.09.2017

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
machine learning, prediction, text classification, SVN, CNN, clustering, factorial analysis, news values

Sažetak
We present a preliminary study on predicting news values from headline text and emotions. We perform a multivariate analysis on a dataset manually annotated with news values and emotions, discovering interesting correlations among them. We then train two competitive machine learning models – an SVM and a CNN – to predict news values from headline text and emotions as features. We find that, while both models yield a satisfactory performance, some news values are more difficult to detect than others, while some profit more from including emotion information.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Profili:

Avatar Url Martin Tutek (autor)

Avatar Url Bojana Dalbelo-Bašić (autor)

Avatar Url Jan Šnajder (autor)

Avatar Url Goran Glavaš (autor)

Citiraj ovu publikaciju

di Buono, Maria Pia; Šnajder, Jan; Dalbelo Bašić, Bojana; Glavaš, Goran; Tutek, Martin; Milic-Frayling, Nataša
Predicting News Values from Headline Text and Emotions // Proceedings of the 2017 EMNLP Workshop on Natural Language Processing Meets Journalism
Copenhagen, Danska, 2017. str. 1-6 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Di Buono, M., Šnajder, J., Dalbelo Bašić, B., Glavaš, G., Tutek, M. & Milic-Frayling, N. (2017) Predicting News Values from Headline Text and Emotions. U: Proceedings of the 2017 EMNLP Workshop on Natural Language Processing Meets Journalism.
@article{article, year = {2017}, pages = {1-6}, keywords = {machine learning, prediction, text classification, SVN, CNN, clustering, factorial analysis, news values}, title = {Predicting News Values from Headline Text and Emotions}, keyword = {machine learning, prediction, text classification, SVN, CNN, clustering, factorial analysis, news values}, publisherplace = {Copenhagen, Danska} }