An Empirical Study of Skip-Gram Features and Regularization for Learning on Sentiment Analysis.
Cheng Li|Bingyu Wang|Virgil Pavlu|Javed A. Aslam
| Anthology ID: | DBLP:conf/ecir/LiWPA16 |
|---|---|
| Volume: | Advances in Information Retrieval - 38th European Conference on IR Research, ECIR 2016, Padua, Italy, March 20-23, 2016. Proceedings |
| Year: | 2016 |
| Venue: | European Conference on Advances in Information Retrieval (ECIR) |
| Publisher: | Springer |
| Pages: | 72-87 |
| URL: | https://doi.org/10.1007/978-3-319-30671-1_6 |
| DOI: | https://doi.org/10.1007/978-3-319-30671-1_6 |
| DBLP: | conf/ecir/LiWPA16 |
| BibTeX: |
@inproceedings{li-2016-empirical,
author = {Cheng Li and
Bingyu Wang and
Virgil Pavlu and
Javed A. Aslam},
editor = {Nicola Ferro and
Fabio Crestani and
Marie-Francine Moens and
Josiane Mothe and
Fabrizio Silvestri and
Giorgio Maria Di Nunzio and
Claudia Hauff and
Gianmaria Silvello},
title = {{An Empirical Study of Skip-Gram Features and Regularization for Learning on Sentiment Analysis}},
booktitle = {{Advances in Information Retrieval - 38th European Conference on IR Research, ECIR 2016, Padua, Italy, March 20-23, 2016. Proceedings}},
series = {Lecture Notes in Computer Science},
volume = {9626},
pages = {72--87},
publisher = {Springer},
year = {2016},
url = {https://doi.org/10.1007/978-3-319-30671-1_6},
doi = {https://doi.org/10.1007/978-3-319-30671-1_6}
}