Short text topic modeling techniques, applications, and performance: a survey

J Qiang, Z Qian, Y Li, Y Yuan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Analyzing short texts infers discriminative and coherent latent topics that is a critical and
fundamental task since many real-world applications require semantic understanding of …

Topic-level sentiment analysis of social media data using deep learning

AR Pathak, M Pandey, S Rautaray - Applied Soft Computing, 2021 - Elsevier
Due to the inception of Web 2.0 and freedom to facilitate the dissemination of information,
sharing views, expressing opinions with regards to current world level events, services …

A review of approaches for topic detection in Twitter

Z Mottaghinia, MR Feizi-Derakhshi… - … of Experimental & …, 2021 - Taylor & Francis
Online social media such as Twitter are growing so rapidly. Recently, Twitter has become
one of the popular microblogging services on the Internet. It lets millions of users to …

Topicsketch: Real-time bursty topic detection from twitter

W **e, F Zhu, J Jiang, EP Lim… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Twitter has become one of the largest microblogging platforms for users around the world to
share anything happening around them with friends and beyond. A bursty topic in Twitter is …

Event detection over twitter social media streams

X Zhou, L Chen - The VLDB journal, 2014 - Springer
In recent years, microblogs have become an important source for reporting real-world
events. A real-world occurrence reported in microblogs is also called a social event. Social …

STREAMCUBE: Hierarchical spatio-temporal hashtag clustering for event exploration over the Twitter stream

W Feng, C Zhang, W Zhang, J Han… - 2015 IEEE 31st …, 2015 - ieeexplore.ieee.org
What is happening around the world? When and where? Mining the geo-tagged Twitter
stream makes it possible to answer the above questions in real-time. Although a single tweet …

Dynamic user modeling in social media systems

H Yin, B Cui, L Chen, Z Hu, X Zhou - ACM Transactions on Information …, 2015 - dl.acm.org
Social media provides valuable resources to analyze user behaviors and capture user
preferences. This article focuses on analyzing user behaviors in social media systems and …

A probabilistic method for emerging topic tracking in microblog stream

J Huang, M Peng, H Wang, J Cao, W Gao, X Zhang - World Wide Web, 2017 - Springer
Microblog is a popular and open platform for discovering and sharing the latest news about
social issues and daily life. The quickly-updated microblog streams make it urgent to …

A temporal context-aware model for user behavior modeling in social media systems

H Yin, B Cui, L Chen, Z Hu, Z Huang - Proceedings of the 2014 ACM …, 2014 - dl.acm.org
Social media provides valuable resources to analyze user behaviors and capture user
preferences. This paper focuses on analyzing user behaviors in social media systems and …

LCARS: A spatial item recommender system

H Yin, B Cui, Y Sun, Z Hu, L Chen - ACM Transactions on Information …, 2014 - dl.acm.org
Newly emerging location-based and event-based social network services provide us with a
new platform to understand users' preferences based on their activity history. A user can …