Guiding the Training of Distributed Text Representation with Supervised Weighting Scheme for Sentiment Analysis-Reference-Cited by-同舟云学术

Guiding the Training of Distributed Text Representation with Supervised Weighting Scheme for Sentiment Analysis

Published:2017-04-27 Issue:2 Volume:2 Page:178-186
ISSN:2364-1185
Container-title:Data Science and Engineering
language:en
Short-container-title:Data Sci. Eng.

Author:

Zhao Zhe,Liu Tao,Li Shen,Li Bofang,Du Xiaoyong

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computational Mechanics

Link

http://link.springer.com/article/10.1007/s41019-017-0040-6/fulltext.html

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3. Deng ZH, Luo KH, Yu HL (2014) A study of supervised term weighting scheme for sentiment analysis. Expert Syst Appl 41(7):3506–3513

4. Denil M, Demiraj A, Kalchbrenner N, Blunsom P, de Freitas N (2014) Modelling, visualising and summarising documents with a single convolutional neural network. arXiv preprint arXiv:1406.3830

5. Fan RE, Chang KW, Hsieh CJ, Wang XR, Lin CJ (2008) Liblinear: a library for large linear classification. J Mach Learn Res 9:1871–1874

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