Cross-platform comparison of framed topics in Twitter and Weibo: machine learning approaches to social media text mining.
Yi YangJia-Huey HsuKarl LöfgrenWonhyuk ChoPublished in: Soc. Netw. Anal. Min. (2021)
Keyphrases
- machine learning approaches
- social media
- cross platform
- text mining
- social media platforms
- emerging topics
- text documents
- social media sites
- machine learning
- online social networks
- sentiment analysis
- open source
- machine learning methods
- machine learning algorithms
- latent dirichlet allocation
- public opinion
- topic models
- social networking
- social media content
- information retrieval
- natural language processing
- social networks
- micro blogging
- real world events
- twitter users
- hot topics
- social media data
- sina weibo
- text classification
- user generated content
- information extraction
- online social media
- social networking sites
- software package
- data mining methods
- information diffusion
- object oriented
- data mining
- topic detection
- database
- data structure
- search engine
- databases