User Analytics in Online Social Networks: Evolving from Social Instances to Social Individuals

Autor: Gerasimos Razis, Stylianos Georgilas, Giannis Haralabopoulos, Ioannis Anagnostopoulos

Publikováno v: Computers, Vol 11, Iss 10, p 149 (2022)

In our era of big data and information overload, content consumers utilise a variety of sources to meet their data and informational needs for the purpose of acquiring an in-depth perspective on a subject, as each source is focused on specific aspect

Externí odkaz: https://doaj.org/article/d211cba8a4674dbea6ca37a684485274

Ensemble Deep Learning for Multilabel Binary Classification of User-Generated Content

Autor: Giannis Haralabopoulos, Ioannis Anagnostopoulos, Derek McAuley

Publikováno v: Algorithms, Vol 13, Iss 4, p 83 (2020)

Sentiment analysis usually refers to the analysis of human-generated content via a polarity filter. Affective computing deals with the exact emotions conveyed through information. Emotional information most frequently cannot be accurately described b

Externí odkaz: https://doaj.org/article/da6b6f6054b94f17a7d16afb17e83577

A Custom State LSTM Cell for Text Classification Tasks

Autor: Giannis Haralabopoulos, Ioannis Anagnostopoulos

Publikováno v: Engineering Applications of Neural Networks ISBN: 9783031082221

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::977e9abab56f5db85e76ef5570d04493
https://doi.org/10.1007/978-3-031-08223-8_40

Privacy-Preserving Text Labelling Through Crowdsourcing

Autor: Derek McAuley, Mercedes Torres Torres, Giannis Haralabopoulos, Ioannis Anagnostopoulos

Publikováno v: Artificial Intelligence Applications and Innovations. AIAI 2021 IFIP WG 12.5 International Workshops ISBN: 9783030791568
AIAI Workshops
IFIP Advances in Information and Communication Technology

The extensive use of online social media has highlighted the importance of privacy in the digital space. As more scientists analyse the data created in these platforms, privacy concerns have extended to data usage within the academia. Although text a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9d06796f750e6bcc2c6adb37cbd0eb0
https://doi.org/10.1007/978-3-030-79157-5_35

Text data augmentations: Permutation, antonyms and negation

Autor: Ioannis Anagnostopoulos, Giannis Haralabopoulos, Mercedes Torres Torres, Derek McAuley

Publikováno v: Expert Systems with Applications. 177:114769

Text has traditionally been used to train automated classifiers for a multitude of purposes, such as: classification, topic modelling and sentiment analysis. State-of-the-art LSTM classifier require a large number of training examples to avoid biases

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5e39ee676715271b89bca8cffaa4026
https://doi.org/10.1016/j.eswa.2021.114769