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Mendeley readers
Chapter title |
Sentiment Analysis for Financial News Headlines using Machine Learning Algorithm
|
---|---|
Chapter number | 8 |
Book title |
Proceedings of the 7th International Conference on Kansei Engineering and Emotion Research 2018
|
Published by |
Springer, Singapore, March 2018
|
DOI | 10.1007/978-981-10-8612-0_8 |
Book ISBNs |
978-9-81-108611-3, 978-9-81-108612-0
|
Authors |
Shuhaida Mohamed Shuhidan, Saidatul Rahah Hamidi, Soheil Kazemian, Shamila Mohamed Shuhidan, Maizatul Akmar Ismail |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 43 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 8 | 19% |
Student > Master | 5 | 12% |
Student > Ph. D. Student | 4 | 9% |
Lecturer > Senior Lecturer | 3 | 7% |
Lecturer | 3 | 7% |
Other | 3 | 7% |
Unknown | 17 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 18 | 42% |
Engineering | 3 | 7% |
Unspecified | 1 | 2% |
Economics, Econometrics and Finance | 1 | 2% |
Business, Management and Accounting | 1 | 2% |
Other | 2 | 5% |
Unknown | 17 | 40% |