SHAN

Keras implementation of Syntax-Directed Hybrid Attention Network for Aspect-Level Sentiment Analysis

Prerequisites

1. keras
2. spacy (pip install -U spacy)
3. pyenchant （pip install pyenchant）
4. python 2.7
5. nltk (pip install nltk)
6. download pretrained glove glove.840B.300d.zip and unzip it to dir GLOVE_MODEL

Preprocess

run preprocess.ipynb to preprocess data

Usage

For training, python Main.py train
For testing, python Main.py test

Result

train data

set validation_split = 0.2

• 80% data training
• 20% data validating

categorical_accuracy: 87.234%
val_categorical_accuracy: 74.064%

test data

accuracy: 0.84375

Pretrained model

no pretrained model

References

Syntax-Directed Hybrid Attention Network for Aspect-Level Sentiment Analysis