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} }