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Learning Document Embeddings by Predicting N-grams for Sentiment Classification of Long Movie Reviews
27 December 2015
Bofang Li
Tao Liu
Xiaoyong Du
Deyuan Zhang
Zhe Zhao
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Papers citing
"Learning Document Embeddings by Predicting N-grams for Sentiment Classification of Long Movie Reviews"
4 / 4 papers shown
Title
The Document Vectors Using Cosine Similarity Revisited
Bingyu Zhang
N. Arefyev
32
9
0
26 May 2022
Explicit Interaction Network for Aspect Sentiment Triplet Extraction
Peiyi Wang
Tianyu Liu
Damai Dai
Runxin Xu
Baobao Chang
Zhifang Sui
25
4
0
21 Jun 2021
Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization with Medical Applications
G. T. Berge
Ole-Christoffer Granmo
Tor Tveit
Morten Goodwin
Lei Jiao
B. Matheussen
VLM
33
75
0
12 Sep 2018
Modeling Documents with Deep Boltzmann Machines
Nitish Srivastava
Ruslan Salakhutdinov
Geoffrey E. Hinton
BDL
88
184
0
26 Sep 2013
1