Twitter Data Analytics

By Shamanth Kumar, Fred Morstatter, Huan Liu. SpringerBriefs in Computer Science, 2013

313 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/5bb95ff5dd5a3026a17acbdc60aecd74c8e331f3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Miles Efron
2. Vadlamani Ravi
3. Roy H. Campbell
4. Kumar Ravi
5. Chengxiang Zhai
6. Michael C. Schatz
7. W. Bruce Croft
8. Hamed Zamani

In Computer Vision and Pattern Recognition

1. Roy H. Campbell
2. Kumar Ravi
3. Vadlamani Ravi
4. Chengxiang Zhai
5. Miles Efron

In Statistical and Nonlinear Physics

1. Kumar Ravi
2. Vadlamani Ravi
3. Chengxiang Zhai
4. Miles Efron

Citations in the corpus

• A survey on opinion mining and sentiment analysis: Tasks, approaches and applications (2015, methodology): “Twitter has provided Twitter REST API to get static data like user profile information, and Streaming API(2) to get streaming data like tweets [19].”
• Big Data: Astronomical or Genomical? (2015, background): “Twitter data are the subject of intense research in the social sciences [41], especially for topic and sentiment mining, which is performed chiefly on textual “ tweets ” in the context of associated metadata (e.g., user demographics and temporal information).”