Sentiment Analysis by Capsules-Reference-Cited by-同舟云学术

Sentiment Analysis by Capsules

Published:2018 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18
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Author:

Wang Yequan¹,Sun Aixin²,Han Jialong³,Liu Ying⁴,Zhu Xiaoyan¹

Affiliation:

1. Tsinghua University, Beijing, China

2. Nanyang Technological University, Singapore , Singapore

3. Tencent AI Lab, Shenzhen, China

4. Cardiff University, Cardiff, United Kingdom

Funder

China Scholarship Council

National Science Foundation of China

Singapore Ministry of Education Research Fund

Publisher

ACM Press

Reference44 articles.

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2. Yanqing Chen and Steven Skiena. 2014. Building Sentiment Lexicons for All Major Languages Proc. ACL, Volume 2: Short Papers. 383--389.

3. Kyunghyun Cho, Bart van Merrienboer, cCaglar Gülccehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014. Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation. In Proc. EMNLP. 1724--1734.

4. Li Dong, Furu Wei, Chuanqi Tan, Duyu Tang, Ming Zhou, and Ke Xu. 2014. Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification. In Proc. ACL, Volume 2: Short Papers. 49--54.

5. Bjarke Felbo, Alan Mislove, Anders Søgaard, Iyad Rahwan, and Sune Lehmann. 2017. Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm. In Proc. EMNLP. 1615--1625.

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