IMDB film review sentiment classification based on BERT's supervised learning model.

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Text Data & NLPIMDB-sentiment-classification-based-on-BERT
Overview

IMDB-sentiment-classification-based-on-BERT

IMDB film review sentiment classification based on BERT's supervised learning model. On the other hand, the model can be extended to other natural language multi-classification tasks.

Documents description

ALL_OUTPUT:4组实验运行结果。

BERT_BASE_DIR:谷歌预训练BERT模型文件。

DATA_DIR:训练集、验证集、测试集文件。

output_models:空文件夹，运行程序时存储输出文件。

Raw_Data:原始数据集以及数据预处理过程涉及到的一些数据文件。

IMDB Parameters:运行‘run.py’文件时需将该文件中的参数传入程序。

run.py:训练、验证、测试模型时运行的文件。

Parameters

--task_name=mrpc
--do_train=true
--do_eval=true
--do_predict=true
--data_dir=D:\XXXXXXX\IMDB\DATA_DIR
--vocab_file=BERT_BASE_DIR/vocab.txt
--bert_config_file=BERT_BASE_DIR/bert_config.json
--init_checkpoint=BERT_BASE_DIR/bert_model.ckpt
--max_seq_length=30
--train_batch_size=1
--learning_rate=2e-6
--num_train_epochs=5
--output_dir=output_models/

The optimization result

Accuracy:
0.922（validation set）
0.928（test set）

File distribution

image

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