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 …
Improving user topic interest profiles by behavior factorization
Many recommenders aim to provide relevant recommendations to users by building
personal topic interest profiles and then using these profiles to find interesting contents for …
personal topic interest profiles and then using these profiles to find interesting contents for …
View, like, comment, post: Analyzing user engagement by topic at 4 levels across 5 social media platforms for 53 news organizations
We evaluate the effects of the topics of social media posts on audiences across five social
media platforms (ie, Facebook, Instagram, Twitter, YouTube, and Reddit) at four levels of …
media platforms (ie, Facebook, Instagram, Twitter, YouTube, and Reddit) at four levels of …
A personalized hashtag recommendation approach using LDA-based topic model in microblog environment
With wide use of cloud computing technologies, microblog is used more widely for services
providing more personal communities by user information sharing, dissemination and …
providing more personal communities by user information sharing, dissemination and …
Investigating learners' behaviors and discourse content in MOOC course reviews
X Peng, Q Xu - Computers & Education, 2020 - Elsevier
In MOOCs, course reviews serve as a new interactive tool that has not yet been sufficiently
exploited. Therefore, this study investigated learners' explicit behaviors and implicit …
exploited. Therefore, this study investigated learners' explicit behaviors and implicit …
What really matters?: characterising and predicting user engagement of news postings using multiple platforms, sentiments and topics
This research characterises user engagement of approximately 3,000,000 news postings of
53 news outlets and 50,000,000 associated user comments during 8 months on 5 social …
53 news outlets and 50,000,000 associated user comments during 8 months on 5 social …
Twitter-network topic model: A full Bayesian treatment for social network and text modeling
Twitter data is extremely noisy--each tweet is short, unstructured and with informal language,
a challenge for current topic modeling. On the other hand, tweets are accompanied by extra …
a challenge for current topic modeling. On the other hand, tweets are accompanied by extra …
Social event detection with retweeting behavior correlation
Event detection over microblogs has attracted great research interest due to its wide
application in crisis management and decision making etc. In natural disasters, complex …
application in crisis management and decision making etc. In natural disasters, complex …
On analyzing user topic-specific platform preferences across multiple social media sites
Topic modeling has traditionally been studied for single text collections and applied to social
media data represented in the form of text documents. With the emergence of many social …
media data represented in the form of text documents. With the emergence of many social …
Unfolding sentimental and behavioral tendencies of learners' concerned topics from course reviews in a MOOC
Course reviews, which is designed as an interactive feedback channel in Massive Open
Online Courses, has promoted the generation of large-scale text comments. These data …
Online Courses, has promoted the generation of large-scale text comments. These data …