wangjinguang502 / HMCAN

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Classification results #3

Open MeHibird opened 1 year ago

MeHibird commented 1 year ago

Has anyone got the classification accuracy and F1 on the Weibo and Twitter datasets reported in this paper? Using the provided codes and parameter settings stated in the paper, we could not reproduce the classification results claimed in the paper.

TrinaChang commented 1 year ago

Has anyone got the classification accuracy and F1 on the Weibo and Twitter datasets reported in this paper? Using the provided codes and parameter settings stated in the paper, we could not reproduce the classification results claimed in the paper.

Hello, may I know what accuracy and F1 you got from those datasets?

MeHibird commented 10 months ago

Hello, the results of HMCAN we reproduced are presented in our newly published paper: Not all Fake News is Semantically Similar: Contextual Semantic Representation Learning for Multimodal Fake News Detection.

Our paper can be found here:

https://authors.elsevier.com/a/1i0Nr15hYdu5o3

Me云豆 @.***

 

------------------ 原始邮件 ------------------ 发件人: "wangjinguang502/HMCAN" @.>; 发送时间: 2023年7月23日(星期天) 下午3:50 @.>; @.**@.>; 主题: Re: [wangjinguang502/HMCAN] Classification results (Issue #3)

Has anyone got the classification accuracy and F1 on the Weibo and Twitter datasets reported in this paper? Using the provided codes and parameter settings stated in the paper, we could not reproduce the classification results claimed in the paper.

Hello, may I know what accuracy and F1 you got on those datasets?

— Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: @.***>

thinking024 commented 9 months ago

Hello, the results of HMCAN we reproduced are presented in our newly published paper: Not all Fake News is Semantically Similar: Contextual Semantic Representation Learning for Multimodal Fake News Detection. Our paper can be found here: https://authors.elsevier.com/a/1i0Nr15hYdu5o3 Me云豆 @.   ------------------ 原始邮件 ------------------ 发件人: "wangjinguang502/HMCAN" @.>; 发送时间: 2023年7月23日(星期天) 下午3:50 @.>; @*.**@*.>; 主题: Re: [wangjinguang502/HMCAN] Classification results (Issue #3) Has anyone got the classification accuracy and F1 on the Weibo and Twitter datasets reported in this paper? Using the provided codes and parameter settings stated in the paper, we could not reproduce the classification results claimed in the paper. Hello, may I know what accuracy and F1 you got on those datasets? — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: @.>

The authors do not provide code for data preprocessing or processed data files. The accuracy results we reproduced on the weibo and twitter datasets are almost the same as yours!

xiaoxinhu commented 4 months ago

我可以问下为什么你们weibo数据集和att-rnn中的数据集分布不一样吗