Abhinay Pandya, Mourad Oussalah, Paola Monachesi, Panos Kostakos, On the use of distributed semantics of tweet metadata for user age prediction, Future Generation Computer Systems, Volume 102, 2020, Pages 437-452, ISSN 0167-739X, https://doi.org/10.1016/j.future.2019.08.018
On the use of distributed semantics of tweet metadata for user age prediction
|Author:||Pandya, Abhinay1; Oussalah, Mourad1; Monachesi, Paola2;|
1Center for Ubiquitous Computing, Faculty of Information Technology and Electrical Engineering, University of Oulu, FI90014, Finland
2Department of Linguistics, University of Utrecht, 3512 JK Utrecht, The Netherlands
|Online Access:||PDF Full Text (PDF, 2.9 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe202001202589
|Publish Date:|| 2020-01-20
Social media data represent an important resource for behavioral analysis of the aging population. This paper addresses the problem of age prediction from Twitter dataset, where the prediction issue is viewed as a classification task. For this purpose, an innovative model based on Convolutional Neural Network is devised. To this end, we rely on language-related features and social media specific metadata. More specifically, we introduce two features that have not been previously considered in the literature: the content of URLs and hashtags appearing in tweets. We also employ distributed representations of words and phrases present in tweets, hashtags and URLs, pre-trained on appropriate corpora in order to exploit their semantic information in age prediction. We show that our CNN-based classifier, when compared with baseline models, yields an improvement of up to 12.3% for Dutch dataset, 9.8% for English1 dataset, and 6.6% for English2 dataset in the micro-averaged F1 score.
Future generation computer systems
|Pages:||437 - 452|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
113 Computer and information sciences
This work is (partially) funded by the Marie Skłodowska-Curie, Finland grant (645706-GRAGE) and EU grant (770469-Cutler).
|EU Grant Number:||
(645706) GRAGE - Grey and green in Europe: elderly living in urban areas
(770469) CUTLER - Coastal Urban developmenT through the LEnses of Resiliency
© 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).