Diurnal variations of psychometric indicators in Twitter content F Dzogang, S Lightman, N Cristianini PloS one 13 (6), e0197002, 2018 | 62 | 2018 |
Circadian mood variations in Twitter content F Dzogang, S Lightman, N Cristianini Brain and neuroscience advances 1, 2398212817744501, 2017 | 58 | 2017 |
Scalable hyperbolic recommender systems BP Chamberlain, SR Hardwick, DR Wardrope, F Dzogang, F Daolio, ... arXiv preprint arXiv:1902.08648, 2019 | 57 | 2019 |
Change-point Analysis of the Public Mood in UK Twitter during the Brexit Referendum T Lansdall-Welfare, F Dzogang, N Cristianini 2016 IEEE International Conference on Data Mining in Politics Workshop (DMIP), 2016 | 53 | 2016 |
Seasonal Fluctuations in Collective Mood Revealed by Wikipedia Searches and Twitter Posts F Dzogang, T Lansdall-Welfare, N Cristianini | 36 | 2016 |
Expressions of graduality for sentiments analysis—A survey F Dzogang, MJ Lesot, M Rifqi, B Bouchon-Meunier International Conference on Fuzzy Systems, 1-7, 2010 | 24 | 2010 |
Seasonal variation in collective mood via Twitter content and medical purchases F Dzogang, J Goulding, S Lightman, N Cristianini Advances in Intelligent Data Analysis XVI: 16th International Symposium, IDA …, 2017 | 16 | 2017 |
An ellipsoidal k-means for document clustering F Dzogang, C Marsala, MJ Lesot, M Rifqi 2012 IEEE 12th International Conference on Data Mining, 221-230, 2012 | 12 | 2012 |
Discovering periodic patterns in historical news F Dzogang, T Lansdall-Welfare, FindMyPast Newspaper Team, ... PloS one 11 (11), e0165736, 2016 | 11 | 2016 |
Early fusion of low level features for emotion mining F Dzogang, MJ Lesot, M Rifqi, B Bouchon-Meunier Biomedical informatics insights 5, BII. S8973, 2012 | 11 | 2012 |
Scalable preference learning from data streams F Dzogang, T Lansdall-Welfare, S Sudhahar, N Cristianini Proceedings of the 24th International Conference on World Wide Web, 885-890, 2015 | 9 | 2015 |
Analysis of texts’ emotional content in a multidimensional space F Dzogang, MJ Lesot, M Rifqi, B Bouchon-Meunier Int. Conf. on Kansei Engineering and Emotion Research, KEER, 877-886, 2010 | 9 | 2010 |
“Where Is My Parcel?” Fast and Efficient Classifiers to Detect User Intent in Natural Language C Nicolaou, A Vaidya, F Dzogang, D Wardrope, N Konstantinidis 2019 Sixth International Conference on Social Networks Analysis, Management …, 2019 | 2 | 2019 |
A Dataset for Learning Graph Representations to Predict Customer Returns in Fashion Retail J McGowan, E Guest, Z Yan, C Zheng, N Patel, M Cusack, C Donaldson, ... Workshop on Recommender Systems in Fashion and Retail, 99-108, 2022 | | 2022 |
Apprentissage de concepts émotionnels à partir de descripteurs bas niveau F Dzogang, MJ Lesot, M Rifqi Revue des Sciences et Technologies de l'Information-Série RIA: Revue d …, 2014 | | 2014 |
Représentation et apprentissage à partir de textes pour des informations émotionnelles et pour des informations dynamiques F Dzogang Paris 6, 2013 | | 2013 |
Fusion anticipée de descripteurs bas niveau pour la détection d’émotions dans les textes F Dzogang, MJ Lesot, M Rifqi WACAI 2012 Workshop Affect, Compagnon Artificiel, Interaction, 191, 2012 | | 2012 |