A TensorFlow implementation for "Recurrent Attention Network on Memory for Aspect Sentiment Analysis"
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A Tensorflow implementation for "Recurrent Attention Network on Memory for Aspect Sentiment Analysis" (Peng Chen, EMNLP 2017)

Quick Start

  • Create three empty folders: 'analysis' for saving analyzing results, 'logs' for saving experiment logs and 'models' for saving experiment models
  • Download the 300-dimensional pre-trained word vectors from Glove and save it in the 'data' folder as 'data/glove.840B.300d.txt'

Source Code Tree

|--- data

|	|--- restaurant

|--- main.py

|--- model.py

|--- utils.py

|--- README.md


Dataset Accuracy
Laptop 74.138
Restaurant 80.000
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