CIS-positive: A Combination of Convolutional Neural Networks and Support Vector Machines for Sentiment Analysis in Twitter

Sebastian Ebert, Ngoc Thang Vu, Hinrich Schütze


Anthology ID:
S15-2088
Volume:
Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)
Month:
June
Year:
2015
Address:
Denver, Colorado
Editors:
Preslav Nakov, Torsten Zesch, Daniel Cer, David Jurgens
Venue:
SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
527–532
Language:
URL:
https://aclanthology.org/S15-2088
DOI:
10.18653/v1/S15-2088
Bibkey:
Cite (ACL):
Sebastian Ebert, Ngoc Thang Vu, and Hinrich Schütze. 2015. CIS-positive: A Combination of Convolutional Neural Networks and Support Vector Machines for Sentiment Analysis in Twitter. In Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), pages 527–532, Denver, Colorado. Association for Computational Linguistics.
Cite (Informal):
CIS-positive: A Combination of Convolutional Neural Networks and Support Vector Machines for Sentiment Analysis in Twitter (Ebert et al., SemEval 2015)
Copy Citation:
PDF:
https://preview.aclanthology.org/nschneid-patch-3/S15-2088.pdf