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sinanews_sentimentclassification's Introduction

Sentiment Classification based on Simplified Chinese News Text (Final project of NLP2020)

Environment:

  • python >= 3.6
  • Pytorch == 1.1.0
  • TensorboardX(Visualization)

Instructions

The main.py in the Code folder is the program entry, run

python main.py --config config_path

train the specificed model

python main.py --config configs/cnn_with-non-static-w2v.json

or run ./code/runall.sh

Summary of experimental results

Model Accuracy(%) F1(%) Pearson Time Parameter configuration
MLP 53.2 21.5 0.50 4m13s config/mlp_with-non-static-w2v.json
CNN 63.1 31.2 0.63 9m13s config/cnn_with-static-w2v.json
LSTM 50.5 26.2 0.48 10m47s config/rnn_lstm_with-non-static-w2v.json
GRU 57.6 26.3 0.40 9m43s config/rnn_gru_with-non-static-w2v.json

The following picture is CNN train_loss

To view more charts, you can run the following command to open Tensorboard.

tensorboard --logdir runs

sinanews_sentimentclassification's People

Contributors

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Stargazers

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Watchers

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Forkers

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