Aspect-based Sentiment Analysis via Multitask Learning for Online Reviews

This repo contains the PyTorch implementaion for the paper [Aspect-based Sentiment Analysis via Multitask Learning for Online Reviews].

Requirements

Python 3.7.13
PyTorch 1.11.0
Transformers 4.1.1

Preprocess

The preprocess codes are in data_preprocess_semeval.py and data_preprocess_twitter.py. However we already provided the preprocessed datasets with dependency parcing results in ./data/, so you can skip preprocess.

Training

Run: ./run.sh

Cite

submitted to Knowledge-based Systems

Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
common		common
data		data
README.md		README.md
data_preprocess_semeval.py		data_preprocess_semeval.py
data_preprocess_twitter.py		data_preprocess_twitter.py
datasets.py		datasets.py
model.py		model.py
model_gcn.py		model_gcn.py
model_ner.py		model_ner.py
model_utils.py		model_utils.py
ner_utils.py		ner_utils.py
run.py		run.py
run.sh		run.sh
run_badcase.sh		run_badcase.sh
run_exp1.sh		run_exp1.sh
run_exp2.sh		run_exp2.sh
run_exp3.sh		run_exp3.sh
run_exp4.sh		run_exp4.sh
run_exp5.sh		run_exp5.sh
run_exp6.sh		run_exp6.sh
run_exp_ablation.sh		run_exp_ablation.sh
run_exp_alpha.sh		run_exp_alpha.sh
run_exp_attn.sh		run_exp_attn.sh
run_exp_gat_head.sh		run_exp_gat_head.sh
run_parser.sh		run_parser.sh
trainer.py		trainer.py
tree.py		tree.py
tree_samples.json		tree_samples.json

winder-source/MTABSA

Folders and files

Latest commit

History

Repository files navigation

Aspect-based Sentiment Analysis via Multitask Learning for Online Reviews

Requirements

Preprocess

Training

Cite

About

Resources

Stars

Watchers

Forks

Languages