You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
Mining Textual Terms for Stock Market Prediction Analysis Using Financial News
|
---|---|
Chapter number | 25 |
Book title |
Soft Computing in Data Science
|
Published by |
Springer, Singapore, November 2017
|
DOI | 10.1007/978-981-10-7242-0_25 |
Book ISBNs |
978-9-81-107241-3, 978-9-81-107242-0
|
Authors |
Asyraf Safwan Ab. Rahman, Shuzlina Abdul-Rahman, Sofianita Mutalib |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 46 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 17% |
Student > Master | 7 | 15% |
Student > Bachelor | 5 | 11% |
Student > Postgraduate | 3 | 7% |
Lecturer | 2 | 4% |
Other | 2 | 4% |
Unknown | 19 | 41% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 18 | 39% |
Engineering | 2 | 4% |
Business, Management and Accounting | 2 | 4% |
Mathematics | 1 | 2% |
Chemistry | 1 | 2% |
Other | 1 | 2% |
Unknown | 21 | 46% |