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 …
A survey of recent methods on deriving topics from Twitter: algorithm to evaluation
In recent years, studies related to topic derivation in Twitter have gained a lot of interest from
businesses and academics. The interconnection between users and information has made …
businesses and academics. The interconnection between users and information has made …
[HTML][HTML] From the black box to the glass box: Using unsupervised and supervised learning processes to predict user engagement for the airline companies
Firms collect an enormous amount of user generated content (UGC), such as social media
posts, to analyze consumers' unfiltered opinions regarding brands and firms. A challenge in …
posts, to analyze consumers' unfiltered opinions regarding brands and firms. A challenge in …
[图书][B] Text mining for qualitative data analysis in the social sciences
G Wiedemann - 2016 - Springer
Two developments in computational text analysis widen opportunities for qualitative data
analysis: amounts of digital text worth investigating are growing rapidly, and progress in …
analysis: amounts of digital text worth investigating are growing rapidly, and progress in …
GASC: Genre-aware semantic change for Ancient Greek
Word meaning changes over time, depending on linguistic and extra-linguistic factors.
Associating a word's correct meaning in its historical context is a central challenge in …
Associating a word's correct meaning in its historical context is a central challenge in …
Topic modeling to discover the thematic structure and spatial-temporal patterns of building renovation and adaptive reuse in cities
Y Lai, CE Kontokosta - Computers, Environment and Urban Systems, 2019 - Elsevier
Building alteration and redevelopment play a central role in the revitalization of developed
cities, where the scarcity of available land limits the construction of new buildings. The …
cities, where the scarcity of available land limits the construction of new buildings. The …
Mining event-oriented topics in microblog stream with unsupervised multi-view hierarchical embedding
This article presents an unsupervised multi-view hierarchical embedding (UMHE) framework
to sufficiently reveal the intrinsic topical knowledge in social events. Event-oriented topics …
to sufficiently reveal the intrinsic topical knowledge in social events. Event-oriented topics …
Generation of topic evolution graphs from short text streams
Topic evolution mining on short texts is an important research topic in natural language
processing. Existing methods have been focused either on the topic evolution of normal …
processing. Existing methods have been focused either on the topic evolution of normal …
Enhancement of Twitter event detection using news streams
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 …
news media content and social networks, such as Twitter, to leverage detailed coverage of …
Poisson random fields for dynamic feature models
We present the Wright-Fisher Indian buffet process (WF-IBP), a probabilistic model for time-
dependent data assumed to have been generated by an unknown number of latent features …
dependent data assumed to have been generated by an unknown number of latent features …