Characteristics of viral messages on Telegram; The world's largest hybrid public and private messenger
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 …
private messaging. Telegram is similar to group broadcast or micro-blogging platforms …
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 …
location-aware devices have resulted in the creation of large streams of geo-tagged data …
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 …
they help individuals, public health, financial and non-financial institutions, and the …
The myth of reproducibility: A review of event tracking evaluations on Twitter
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 …
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 …
remains an area of ambiguity. We hypothesize that target funder diversification is effective …
Multi-modal news event detection with external knowledge
News event detection involves the identification and categorization of significant happenings
or occurrences from social media data. Recent work has typically relied on datasets …
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
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 …
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 …
owing to the COVID-19 pandemic. Natural language processing using user-generated text …
Cross-media correlation learning for web video event mining with integrated text semantics and network structural information
C Zhang, G Liu, X Xiao - Neural Computing and Applications, 2023 - Springer
Recently, cross-media web video event mining based on heterogeneous information
networks (HIN) has attracted extensive attention. However, each web video is described by …
networks (HIN) has attracted extensive attention. However, each web video is described by …
Event detection in finance using hierarchical clustering algorithms on news and tweets
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 …
the Web, Event Detection has become an increasingly important task in various application …