A Tensorflow implement of "Adversarial Learning of Sentiment Word Representations for Sentiment Analysis"
This is a Tensorflow implement of the proposed in paper "Adversarial Learning of Sentiment Word Representations for Sentiment Analysis"
- Python 3.6
- Tensorflow 1.10 (<2.0)
Sentiment140 (Divided into two files, one contains positive sentences and the other contains negative sentences)
The training datasets and our results can be downloaded from https://pan.baidu.com/s/1gt9hZR6zAwoTWmsd2uaquw (Extraction code: 6nv6). (Github传大文件太慢了,在下懒了)
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Word-level: https://github.com/mfaruqui/eval-word-vectors
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Sentence-level: https://github.com/facebookresearch/SentEval
- https://www.tensorflow.org/versions/r0.10/tutorials/word2vec/index.html
- https://github.com/tensorflow/tensorflow/blob/r0.10/tensorflow/examples/tutorials/word2vec/word2vec_basic.py
@article{BO2020,
title = "Adversarial Learning of Sentiment Word Representations for Sentiment Analysis",
journal = "Information Sciences",
year = "2020",
issn = "0020-0255",
doi = "https://doi.org/10.1016/j.ins.2020.06.044",
url = "https://www.sciencedirect.com/science/article/pii/S0020025520306320",
author = "Peng Bo and Wang Jin and Zhang Xuejie",
}