Oct 22, 2024 · The proposed approach incorporates machine learning modules. The approach comprises two analysis phases: the time-aware semantic analysis of ...
This study uses a Twitter mining approach for domain-based classification of users and their textual content. The proposed approach incorporates machine ...
Abstract. Purpose – This paper aims to obtain the domain of the textual content generated by users of online social network (OSN) platforms.
The proposed approach incorporates machine learning modules. The approach comprises two analysis phases: the time-aware semantic analysis of users' historical ...
Purpose This paper aims to obtain the domain of the textual content generated by users of online social network (OSN) platforms.
Supplementary Data. Twitter mining for ontology-based domain discovery incorporating machine learning. Authors: Abu-Salih, Bilal; Wongthongtham, Pornpit; ...
Twitter mining for ontology-based domain discovery incorporating machine learning. B Abu-Salih, P Wongthongtham, C Yan Kit. Journal of Knowledge Management 22 ...
Design/methodology/approach: This study uses a Twitter mining approach for domain-based classification of users and their textual content. The proposed approach ...
There exist various machine learning-based approaches that perform sentiment analysis on tweets ... Ontology learning from domain specific web documents.
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Jun 2, 2023 · This paper aims to address this gap by designing a domain-specific ontology called DSpamOnto to detect social spammers in microblogging that targes a specific ...