Topic modeling using latent Dirichlet allocation: A survey
We are not able to deal with a mammoth text corpus without summarizing them into a
relatively small subset. A computational tool is extremely needed to understand such a …
relatively small subset. A computational tool is extremely needed to understand such a …
Event detection in online social network: Methodologies, state-of-art, and evolution
Online social network such as Twitter, Facebook and Instagram are increasingly becoming
the go-to medium for users to acquire information and discuss what is happening globally …
the go-to medium for users to acquire information and discuss what is happening globally …
Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey
Topic modeling is one of the most powerful techniques in text mining for data mining, latent
data discovery, and finding relationships among data and text documents. Researchers …
data discovery, and finding relationships among data and text documents. Researchers …
A survey of techniques for event detection in twitter
Twitter is among the fastest‐growing microblogging and online social networking services.
Messages posted on Twitter (tweets) have been reporting everything from daily life stories to …
Messages posted on Twitter (tweets) have been reporting everything from daily life stories to …
[KSIĄŻKA][B] Natural language processing for social media
A Farzindar, D Inkpen, G Hirst - 2015 - Springer
In recent years, online social networking has revolutionized interpersonal communication.
The newer research on language analysis in social media has been increasingly focusing …
The newer research on language analysis in social media has been increasingly focusing …
Forecasting the subway passenger flow under event occurrences with social media
Subway passenger flow prediction is strategically important in metro transit system
management. The prediction under event occurrences turns into a very challenging task. In …
management. The prediction under event occurrences turns into a very challenging task. In …
Multi-feature, multi-modal, and multi-source social event detection: A comprehensive survey
The tremendous growth of event dissemination over social networks makes it very
challenging to accurately discover and track exciting events, as well as their evolution and …
challenging to accurately discover and track exciting events, as well as their evolution and …
Can we predict a riot? Disruptive event detection using Twitter
In recent years, there has been increased interest in real-world event detection using
publicly accessible data made available through Internet technology such as Twitter …
publicly accessible data made available through Internet technology such as Twitter …
[PDF][PDF] A survey of data mining techniques for social media analysis
Social network has gained remarkable attention in the last decade. Accessing social
network sites such as Twitter, Facebook LinkedIn and Google+ through the internet and the …
network sites such as Twitter, Facebook LinkedIn and Google+ through the internet and the …
What's happening around the world? a survey and framework on event detection techniques on twitter
In the last few years, Twitter has become a popular platform for sharing opinions,
experiences, news, and views in real-time. Twitter presents an interesting opportunity for …
experiences, news, and views in real-time. Twitter presents an interesting opportunity for …