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Short text topic modeling techniques, applications, and performance: a survey
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 …
fundamental task since many real-world applications require semantic understanding of …
Topic-level sentiment analysis of social media data using deep learning
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 …
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 …
one of the popular microblogging services on the Internet. It lets millions of users to …
Topicsketch: Real-time bursty topic detection from twitter
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 …
share anything happening around them with friends and beyond. A bursty topic in Twitter is …
Event detection over twitter social media streams
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 …
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
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 …
stream makes it possible to answer the above questions in real-time. Although a single tweet …
Dynamic user modeling in social media systems
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 …
preferences. This article focuses on analyzing user behaviors in social media systems and …
A probabilistic method for emerging topic tracking in microblog stream
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 …
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
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 …
preferences. This paper focuses on analyzing user behaviors in social media systems and …
LCARS: A spatial item recommender system
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 …
new platform to understand users' preferences based on their activity history. A user can …