cardiffnlp/twitter-xlm-roberta-base-sentiment-multilingual

此模型是通过训练集train在 cardiffnlp/tweet_sentiment_multilingual (all) 上对 cardiffnlp/twitter-xlm-roberta-base 进行微调得到的，参数在验证集validation上进行了调整。在测试集test（ link ）上取得了以下指标：

• F1（微平均）：0.6931034482758621
• F1（宏平均）：0.692628774202147
• 准确度：0.6931034482758621

使用方法

通过pip安装tweetnlp。

pip install tweetnlp

在Python中加载模型。

import tweetnlp
model = tweetnlp.Classifier("cardiffnlp/twitter-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"
}