Characteristics of viral messages on Telegram; The world's largest hybrid public and private messenger

AD Nobari, MHKM Sarraf, M Neshati… - Expert systems with …, 2021 - Elsevier
Telegram is a new Instant Messaging application providing key features for both public and
private messaging. Telegram is similar to group broadcast or micro-blogging platforms …

Public's mental health monitoring via sentimental analysis of financial text using machine learning techniques

SA Alanazi, A Khaliq, F Ahmad, N Alshammari… - International Journal of …, 2022 - mdpi.com
Public feelings and reactions associated with finance are gaining significant importance as
they help individuals, public health, financial and non-financial institutions, and the …

SNSJam: Road traffic analysis and prediction by fusing data from multiple social networks

B Alkouz, Z Al Aghbari - Information Processing & Management, 2020 - Elsevier
The increased popularity of micro-blogging applications together with the widespread of
location-aware devices have resulted in the creation of large streams of geo-tagged data …

The myth of reproducibility: A review of event tracking evaluations on Twitter

N Mamo, J Azzopardi, C Layfield - Frontiers in big Data, 2023 - frontiersin.org
Event tracking literature based on Twitter does not have a state-of-the-art. What it does have
is a plethora of manual evaluation methodologies and inventive automatic alternatives …

Effective strategies to attract crowdfunding investment based on the novelty of business ideas

E Jung, C Lee, J Hwang - Technological Forecasting and Social Change, 2022 - Elsevier
Whether the novelty of an idea is a factor that directly influences crowdfunding success
remains an area of ambiguity. We hypothesize that target funder diversification is effective …

Multi-modal news event detection with external knowledge

Z Lin, J Xie, Q Li - Information Processing & Management, 2024 - Elsevier
News event detection involves the identification and categorization of significant happenings
or occurrences from social media data. Recent work has typically relied on datasets …

[HTML][HTML] Identifying chronological and coherent information threads using 5W1H questions and temporal relationships

H Narvala, G McDonald, I Ounis - Information Processing & Management, 2023 - Elsevier
Due to the massive volume of articles produced online every day, it is challenging for online
platforms (eg, news agencies) to present the information about an event, activity or …

Disease outbreak prediction using natural language processing: a review

AS Gautam, Z Raza - Knowledge and Information Systems, 2024 - Springer
Research on disease outbreak prediction has suddenly received an enormous interest
owing to the COVID-19 pandemic. Natural language processing using user-generated text …

Event detection in finance using hierarchical clustering algorithms on news and tweets

S Carta, S Consoli, L Piras, AS Podda… - PeerJ Computer …, 2021 - peerj.com
In the current age of overwhelming information and massive production of textual data on
the Web, Event Detection has become an increasingly important task in various application …

Enhancement of Twitter event detection using news streams

S Karimi, A Shakery, RM Verma - Natural Language Engineering, 2023 - cambridge.org
A new framework for improving event detection is proposed that employs joint information in
news media content and social networks, such as Twitter, to leverage detailed coverage of …