cardiffnlp/xlm-roberta-base-sentiment-multilingual

该模型是在 cardiffnlp/tweet_sentiment_multilingual (all) 上通过 tweetnlp 进行微调的版本。训练数据集是train，并且参数是在验证数据集validation上进行调整的。

在测试数据集test上（ link ），实现了以下指标：

• F1（micro）：0.665948275862069
• F1（macro）：0.6628627126803655
• 准确率：0.665948275862069

用法

通过pip安装tweetnlp。

pip install tweetnlp

在Python中加载模型。

import tweetnlp
model = tweetnlp.Classifier("cardiffnlp/xlm-roberta-base-sentiment-multilingual", max_length=128)
model.predict('Get the all-analog Classic Vinyl Edition of "Takin Off" Album from {@herbiehancock@} via {@bluenoterecords@} link below {{URL}}')

参考资料

@inproceedings{dimosthenis-etal-2022-twitter,
    title = "{T}witter {T}opic {C}lassification",
    author = "Antypas, Dimosthenis  and
    Ushio, Asahi  and
    Camacho-Collados, Jose  and
    Neves, Leonardo  and
    Silva, Vitor  and
    Barbieri, Francesco",
    booktitle = "Proceedings of the 29th International Conference on Computational Linguistics",
    month = oct,
    year = "2022",
    address = "Gyeongju, Republic of Korea",
    publisher = "International Committee on Computational Linguistics"
}