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DAuM-pytorch

This is a pytorch implementation for Enhanced Aspect Level Sentiment Classification with Auxiliary Memory (Peisong Zhu, Tieyun Qian, COLING 2018).

requirements

pytorch 1.0.0
numpy
spacy

Quick Start

  • Download the 300-dimensional pre-trained word vectors from Glove and save it in the 'data' folder as 'data/glove.840B.300d.txt'

  • Use the following command to run the code.

python main.py

Results

Dataset Accuracy
Laptop 69.12
Restaurant 79.20

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A pytorch implemention of DAuM for aspect based sentiment analysis.

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