An Empirical Study of Skip-Gram Features and Regularization for Learning on Sentiment Analysis

Cheng Li, Bingyu Wang, Virgil Pavlu, Javed A. Aslam. An Empirical Study of Skip-Gram Features and Regularization for Learning on Sentiment Analysis. In Nicola Ferro, Fabio Crestani, Marie-Francine Moens, Josiane Mothe, Fabrizio Silvestri, Giorgio Maria Di Nunzio, Claudia Hauff, Gianmaria Silvello, editors, Advances in Information Retrieval - 38th European Conference on IR Research, ECIR 2016, Padua, Italy, March 20-23, 2016. Proceedings. Volume 9626 of Lecture Notes in Computer Science, pages 72-87, Springer, 2016. [doi]

@inproceedings{LiWPA16,
  title = {An Empirical Study of Skip-Gram Features and Regularization for Learning on Sentiment Analysis},
  author = {Cheng Li and Bingyu Wang and Virgil Pavlu and Javed A. Aslam},
  year = {2016},
  doi = {10.1007/978-3-319-30671-1_6},
  url = {http://dx.doi.org/10.1007/978-3-319-30671-1_6},
  researchr = {https://researchr.org/publication/LiWPA16},
  cites = {0},
  citedby = {0},
  pages = {72-87},
  booktitle = {Advances in Information Retrieval - 38th European Conference on IR Research, ECIR 2016, Padua, Italy, March 20-23, 2016. Proceedings},
  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},
  volume = {9626},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-30670-4},
}