Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track
Springer International Publishing
Chapter title |
Calling to CNN-LSTM for Rumor Detection: A Deep Multi-channel Model for Message Veracity Classification in Microblogs
|
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Book title |
Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track
|
Published in |
arXiv, September 2021
|
DOI | 10.1007/978-3-030-86517-7_31 |
Book ISBNs |
978-3-03-086516-0, 978-3-03-086517-7
|
Authors |
Azri, Abderrazek, Favre, Cécile, Harbi, Nouria, Darmont, Jérôme, Noûs, Camille, Abderrazek Azri, Cécile Favre, Nouria Harbi, Jérôme Darmont, Camille Noûs |
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Country | Count | As % |
---|---|---|
Unknown | 17 | 100% |
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 12% |
Student > Bachelor | 1 | 6% |
Student > Doctoral Student | 1 | 6% |
Unknown | 13 | 76% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 18% |
Economics, Econometrics and Finance | 1 | 6% |
Unknown | 13 | 76% |