Short text topic modelling approaches in the context of big data: taxonomy, survey, and analysis
BAH Murshed, S Mallappa, J Abawajy… - Artificial Intelligence …, 2023 - Springer
Social media platforms such as (Twitter, Facebook, and Weibo) are being increasingly
embraced by individuals, groups, and organizations as a valuable source of information …
embraced by individuals, groups, and organizations as a valuable source of information …
Content features of tweets for effective communication during disasters: A media synchronicity theory perspective
Users' ability to retweet information has made Twitter one of the most prominent social
media platforms for disseminating emergency information during disasters. However, few …
media platforms for disseminating emergency information during disasters. However, few …
Data-driven power outage detection by social sensors
This paper proposes a novel method to detect and locate power outages based on the
information collected from social media. Twitter is used as a real-time social sensor in the …
information collected from social media. Twitter is used as a real-time social sensor in the …
Quick-and-wide propagation of disaster tweets: Why it matters and how to measure it
J Son - ACM SIGMIS Database: The DATABASE for Advances …, 2023 - dl.acm.org
As dynamic, non-routine disaster events appear and disappear in a short period, quickly and
widely disseminating emergency warnings and alerts to the public is a critical …
widely disseminating emergency warnings and alerts to the public is a critical …
Tweet categorization by combining content and structural knowledge
Twitter is a worldwide social media platform where millions of people frequently express
ideas and opinions about any topic. This widespread success makes the analysis of tweets …
ideas and opinions about any topic. This widespread success makes the analysis of tweets …
Unsupervised topic discovery in micro-blogging networks
C Vicient, A Moreno - Expert Systems with Applications, 2015 - Elsevier
Unsupervised automatic topic discovery in micro-blogging social networks is a very
challenging task, as it involves the analysis of very short, noisy, ungrammatical and …
challenging task, as it involves the analysis of very short, noisy, ungrammatical and …
Channel retrieval: finding relevant broadcasters on Telegram
A Jalilvand, M Neshati - Social Network Analysis and Mining, 2020 - Springer
Mobile broadband (3G and 4G) has remarkably influenced people's lives. For instance, the
impacts of this technology are evident in transportation, education and messaging. With the …
impacts of this technology are evident in transportation, education and messaging. With the …
Incremental clustering with vector expansion for online event detection in microblogs
Identifying similarities in microblog posts for event detection poses challenges due to short
texts with idiosyncratic spellings, irregular writing styles, abbreviations and synonyms. In …
texts with idiosyncratic spellings, irregular writing styles, abbreviations and synonyms. In …
A modular approach for lexical normalization applied to Spanish tweets
Twitter is a social media platform with widespread success where millions of people
continuously express ideas and opinions about a myriad of topics. It is a huge and …
continuously express ideas and opinions about a myriad of topics. It is a huge and …
A linguistic approach for determining the topics of Spanish Twitter messages
The vast number of opinions and reviews provided in Twitter is helpful in order to make
interesting findings about a given industry, but given the huge number of messages …
interesting findings about a given industry, but given the huge number of messages …