Bert Based Chinese Sentiment Analysis for Automatic Censoring of Dynamic Electronic Scroll

Zong-Yu He, Wei-Liang Lin
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Abstract

This article uses BERT[1] algorithm to judge Chinese sentiment. The goal is to automatically censor short advertising words on advertising boards or message boards, and filter out some inappropriate speeches. The method is to collect various speeches on the internet, including online shopping reviews, meal reviews, store reviews, etc., as well as emotion dictionaries, and use these data to train the algorithm so that the algorithm can correctly identify the emotions of short sentences.
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基于Bert的动态电子卷轴自动审查中文情感分析
本文使用BERT[1]算法来判断中国人的情绪。目标是自动审查广告板或留言板上的简短广告词,并过滤掉一些不适当的言论。方法是收集网络上的各种演讲,包括网上购物评论、用餐评论、商店评论等,以及情绪词典,并使用这些数据来训练算法,使算法能够正确识别短句子的情绪。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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