TF-IDF & XGBoost for Trademark Appeals
This is a python code for the paper "Intelligent Forecasting of Trademark Registration Appeal with TF-IDF and XGBoost"
If you want to run the code, you need to install the packages by running:
pip install -r requirements.txt
to run the code
python main.py
You can find the model in the folder "output" which is 68% accuracy on the test set.
If you want to get access to dataset,pls contact our corresponding author's email at gxthdu@gmail.com or 202230311326@stu.shmtu.edu.cn
you can fork and running the raw code directly on kaggle
If you find this work useful for your research and applications, please cite using this BibTeX:
@inproceedings{wang2024trademarkappeals,
title={Intelligent Forecasting of Trademark Registration Appeal with TF-IDF and XGBoost},
author={Qun Wang, ShuHao Qian, JiaHuan Yan, Hao Wang, XiaoTao Guo},
booktitle={IC2023},
year={2024}
}