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Mendeley readers
Chapter title |
Modelling Public Sentiment in Twitter: Using Linguistic Patterns to Enhance Supervised Learning
|
---|---|
Chapter number | 4 |
Book title |
Computational Linguistics and Intelligent Text Processing
|
Published by |
Springer, Cham, April 2015
|
DOI | 10.1007/978-3-319-18117-2_4 |
Book ISBNs |
978-3-31-918116-5, 978-3-31-918117-2
|
Authors |
Prerna Chikersal, Soujanya Poria, Erik Cambria, Alexander Gelbukh, Chng Eng Siong, Chikersal, Prerna, Poria, Soujanya, Cambria, Erik, Gelbukh, Alexander, Siong, Chng Eng |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Cuba | 1 | 1% |
Unknown | 70 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 14 | 20% |
Researcher | 10 | 14% |
Student > Ph. D. Student | 10 | 14% |
Student > Bachelor | 7 | 10% |
Professor | 5 | 7% |
Other | 12 | 17% |
Unknown | 13 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 42 | 59% |
Linguistics | 4 | 6% |
Environmental Science | 2 | 3% |
Medicine and Dentistry | 2 | 3% |
Physics and Astronomy | 1 | 1% |
Other | 3 | 4% |
Unknown | 17 | 24% |