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Emotion lexicons for JD reviews in Chinese

dataset
posted on 19.05.2020, 13:06 by Jichang Zhao
The data set provides two emotion lexicons that manually labeled by three well-instructed coders to calculate the emotion polarity of JD reviews in Chinese. Specifically, the negative lexicon (jd_negative_terms.txt) contains 1, 589 unique negative terms and the positive lexicon (jd_positive_terms.txt) contains 1135 unique positive terms.

Please cite the following paper:

Di Weng and Jichang Zhao. Positive emotions help rank negative reviews in e-commerce. arXiv:2005.09837, 2020.

Any issues please feel free to contact jichang@buaa.edu.cn for more information.

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