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 |
Predictive Sentiment Analysis of Tweets: A Stock Market Application
|
---|---|
Chapter number | 8 |
Book title |
Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data
|
Published by |
Springer, Berlin, Heidelberg, January 2013
|
DOI | 10.1007/978-3-642-39146-0_8 |
Book ISBNs |
978-3-64-239145-3, 978-3-64-239146-0
|
Authors |
Jasmina Smailović, Miha Grčar, Nada Lavrač, Martin Žnidaršič, Smailović, Jasmina, Grčar, Miha, Lavrač, Nada, Žnidaršič, Martin |
Mendeley readers
The data shown below were compiled from readership statistics for 179 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | <1% |
Germany | 1 | <1% |
Austria | 1 | <1% |
Unknown | 176 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 31 | 17% |
Student > Master | 29 | 16% |
Student > Bachelor | 15 | 8% |
Researcher | 14 | 8% |
Student > Doctoral Student | 10 | 6% |
Other | 25 | 14% |
Unknown | 55 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 60 | 34% |
Business, Management and Accounting | 18 | 10% |
Engineering | 14 | 8% |
Economics, Econometrics and Finance | 11 | 6% |
Linguistics | 4 | 2% |
Other | 11 | 6% |
Unknown | 61 | 34% |