Emotion classification of online comments based on RNN

Last update: Nov 23, 2021

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Deep Learning emotion_classification

Overview

emotion_classification

Emotion classification of online comments based on RNN, the accuracy of the model in the test set reaches 99%

data: Large Movie Review Dataset.This dataset contains movie reviews along with their associated binary sentiment polarity labels.The dataset contains 50,000 reviews split evenly into 25k train and 25k test sets. The overall distribution of labels is balanced (25k pos and 25k neg). We also include an additional 50,000 unlabeled documents for unsupervised learning. Download URL:https://pan.baidu.com/s/17claR2q2GlE71hkFb0O--A Extraction code：p050

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Emotion classification of online comments based on RNN

Related tags

Overview

emotion_classification

Owner

Class-Attentive Diffusion Network for Semi-Supervised Classification [AAAI'21] (official implementation)

✨风纪委员会自动投票脚本，利用Github Action帮你进行裁决操作（为了让其他风纪委员有案件可判，本程序从中午12点才开始运行，有需要请自己修改运行时间）

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