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Learning Explicit and Implicit Structures for Targeted Sentiment Analysis
This page contains the code used in the work "Learning Explicit and Implicit Structures for Targeted Sentiment Analysis" published at EMNLP 2019.
Contents
Usage
Prerequisite: Python (3.5 or later), PyTorch (1.0 or later)
Run the following command to try out our model in the paper.
English
./exp_en.sh
Spanish
./exp_es.sh
After the training is complete, type the following command to display the result on test data. The performance outputed by conlleval.pl is shown as below.
tail -n 50 2019_en_ei.log
tail -n 50 2019_es_ei.log
SourceCode
The source code is written in PyTorch.
Data
The data is stored in "data/ts" folder for English and Spanish.
The embedding files need to be stored in the folder "embedding".
Download English Embedding (Glove 100) [https://drive.google.com/file/d/18ivfhXW0GpsBnDwvao-XNfm0P0d9592b/view?usp=sharing]
Download Spanish Embedding [https://drive.google.com/file/d/1uYCPv3_-ZwcYJ2Ga8DcmPoxi4SgIeLX2/view?usp=sharing]
Citation
If you use this software for research, please cite our paper as follows:
@InProceedings{learning19li,
author = "Li, Hao and Lu, Wei",
title = "Learning Explicit and Implicit Structures for Targeted Sentiment Analysis",
booktitle = "Proc. of EMNLP2019",
year = "2019",
}
Credits
The code in this repository are based on Neural StatNLP framework: sutd-statnlp/statnlp-neural
Email to [email protected] if any inquery.
