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 |
Polarity Classification of Tweets Considering the Poster’s Emotional Change by a Combination of Naive Bayes and LSTM
|
---|---|
Chapter number | 43 |
Book title |
Computational Science and Its Applications – ICCSA 2019
|
Published by |
Springer, Cham, July 2019
|
DOI | 10.1007/978-3-030-24289-3_43 |
Book ISBNs |
978-3-03-024288-6, 978-3-03-024289-3
|
Authors |
Kiichi Tago, Kosuke Takagi, Qun Jin, Tago, Kiichi, Takagi, Kosuke, Jin, Qun |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 6 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor | 2 | 33% |
Unspecified | 1 | 17% |
Student > Bachelor | 1 | 17% |
Student > Doctoral Student | 1 | 17% |
Student > Master | 1 | 17% |
Other | 0 | 0% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 50% |
Unspecified | 1 | 17% |
Engineering | 1 | 17% |
Unknown | 1 | 17% |