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An Empirical Analysis of the Role of Amplifiers, Downtoners, and Negations in Emotion Classification in Microblogs
Strohm, Florian; Klinger, Roman (2018): An Empirical Analysis of the Role of Amplifiers, Downtoners, and Negations in Emotion Classification in Microblogs, in: Francesco Bonchi, Foster Provost, Tina Eliassi-Rad, u. a. (Hrsg.), 2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA), Piscataway, NJ: IEEE, doi: 10.1109/DSAA.2018.00087.
Faculty/Chair:
Author:
Title of the compilation:
2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA)
Editors:
Bonchi, Francesco
Provost, Foster
Eliassi-Rad, Tina
Wang, Wei
Cattuto, Ciro
Ghani, Rayid
Conference:
5th International Conference on Data Science and Advanced Analytics (DSAA) ; Turin, Italy
Publisher Information:
Year of publication:
2018
ISBN:
978-1-5386-5090-5
Language:
English
Peer Reviewed:
Yes:
International Distribution:
Yes:
Type:
Conferenceobject
Activation date:
March 14, 2024
Permalink
https://fis.uni-bamberg.de/handle/uniba/93961