Topic detection and tracking techniques on Twitter: a systematic review

M Asgari-Chenaghlu, MR Feizi-Derakhshi… - …, 2021 - Wiley Online Library
Social networks are real‐time platforms formed by users involving conversations and
interactions. This phenomenon of the new information era results in a very huge amount of …

Social media data analytics to improve supply chain management in food industries

A Singh, N Shukla, N Mishra - … Part E: Logistics and Transportation Review, 2018 - Elsevier
This paper proposes a big-data analytics-based approach that considers social media
(Twitter) data for the identification of supply chain management issues in food industries. In …

A review of approaches for topic detection in Twitter

Z Mottaghinia, MR Feizi-Derakhshi… - … of Experimental & …, 2021 - Taylor & Francis
Online social media such as Twitter are growing so rapidly. Recently, Twitter has become
one of the popular microblogging services on the Internet. It lets millions of users to …

Niche tourism destinations' online reputation management and competitiveness in big data era: Evidence from three Italian cases

V Cillo, R Rialti, M Del Giudice, A Usai - Current Issues in Tourism, 2021 - Taylor & Francis
This research investigates the importance for niche tourism destinations of investing in big
data analytics (BDA) to improve their online reputation management (ORM) and increase …

Opinion community detection and opinion leader detection based on text information and network topology in cloud environment

C Li, J Bai, L Zhang, H Tang, Y Luo - Information Sciences, 2019 - Elsevier
With the rapid development of web technology, the social networks have become the largest
information portals. In the social platforms, the text information can effectively reflect the user …

Extracting and tracking hot topics of micro-blogs based on improved Latent Dirichlet Allocation

YJ Du, YT Yi, XY Li, XL Chen, YQ Fan, FH Su - Engineering Applications of …, 2020 - Elsevier
Micro-blog has changed people's life, study, and work styles. Every day, we want to know
what public opinion news happens and how it evolves. Extracting and tracking these topics …

Characterization of citizens using word2vec and latent topic analysis in a large set of tweets

V Vargas-Calderón, JE Camargo - Cities, 2019 - Elsevier
With the increasing use of the Internet and mobile devices, social networks are becoming
the most used media to communicate citizens' ideas and thoughts. This information is very …

[HTML][HTML] Sub-story detection in Twitter with hierarchical Dirichlet processes

PK Srijith, M Hepple, K Bontcheva… - Information Processing & …, 2017 - Elsevier
Social media has now become the de facto information source on real world events. The
challenge, however, due to the high volume and velocity nature of social media streams, is …

Formal concept analysis for topic detection: a clustering quality experimental analysis

Á Castellanos, J Cigarrán, A García-Serrano - Information Systems, 2017 - Elsevier
Abstract The Topic Detection task is focused on discovering the main topics addressed by a
series of documents (eg, news reports, e-mails, tweets). Topics, defined in this way, are …

MISNIS: An intelligent platform for twitter topic mining

JP Carvalho, H Rosa, G Brogueira, F Batista - Expert Systems with …, 2017 - Elsevier
Twitter has become a major tool for spreading news, for dissemination of positions and
ideas, and for the commenting and analysis of current world events. However, with more …