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NNEMBs at SemEval-2017 Task 4: Neural Twitter Sentiment Classification: a Simple Ensemble Method with Different Embeddings
Yichun Yin
|
Yangqiu Song
|
Ming Zhang
|
Paper Details:
Month: August
Year: 2017
Location: Vancouver, Canada
Venue:
*SEMEVAL |
Citations
URL
Convolutions Are All You Need (For Classifying Character Sequences)
Zach Wood-Doughty
|
Nicholas Andrews
|
Mark Dredze
|
Learning representations for sentiment classification using Multi-task framework
Hardik Meisheri
|
Harshad Khadilkar
|
https://github.com/zwjyyc/NNEMBs
https://www.yelp.com/dataset
https://t.co/fMkglvusL1
https://t.co/5i5o2qwRWl
https://t.co/jGFZTvj2pF
http://aclweb.org/anthology/S/S16/S16-1173.pdf
http://arxiv.org/abs/1412.6980
http://aclweb.org/anthology/N/N16/N16-1153.pdf
http://papers.nips.cc/paper/5021-
http://aclweb.org/anthology/S/S13/S13-2053.pdf
http://aclweb.org/anthology/S/S16/S16-1001.pdf
http://aclweb.org/anthology/D/D14/D14-1162.pdf
http://aclweb.org/anthology/S/S15/S15-2079.pdf
http://www.aclweb.org/anthology/P14-
http://www.ijcai.org/Abstract/16/423
Field Of Study
Linguistic Trends
Embeddings
Task
Sentiment Analysis
Language
English
Dataset
News
Twitter
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