1146976048qq / iatn

Dataset and code for "Interaction Attention Transfer Network for Cross-domain Sentiment Classification“

IATN

Dataset and source code for our paper: Inateraction Attention Transfer Network for Cross-domain Sentiment Classification.

Amazon Review Dataset

The public dataset has been uploaded.

Crowdfunding project Dataset: Indiegogo.com

This is our private dataset, if you want to use it, please indicate the source, thank you！

Requirements

— Python 2.7.5

—Tensorflow-gpu 1.2.1

— Numpy 1.13.3

— Google Word2Vec

— sklearn

— other pakages

—To install requirements, please run pip install -r requirements.txt.

Environment

— OS: CentOS Linux release 7.7.1908

— CPU: 24 E5-2650 v4 @ 2.20GHz

— GPU: 4 * K80:11441 MB

Running

Prepare the Pre-trained Word2vec :

— 1. Get the pre-trained model and generate the embeddings ;

​ — Google Word2Vec ;

​ — GloVe ;

— 2. Put the pre-trained word_embedding (Google-Word2Vec/Glove) to the coresponseding path ;

Prepare the aspect sequence :

— python aspect_extraction.py

(Input/output path can be changed inner the file!)

Run the model :

— python train.py

(Default dataset is Laptop; The parameters can be changed in the train.py file! (line 15~line 31))

Contact

If you have any problem about this library, please send us an Email at:

— [email protected]

— [email protected]

Citation

If the data and code are useful for your research, please be kindly to give us stars and cite our paper as follows:

@article{zhang2019interactive,\
  title={Interactive Attention Transfer Network for Cross-domain Sentiment Classification},\
  author={Zhang, Kai and Zhang, Hefu and Liu, Qi and Zhao, Hongke and Zhu, Hengshu and Chen, Enhong},\
  year={2019}\
}