Check the existing readme and codeline

[farinamhz]

Hey @Lillliant, @DelaramRajaei and @impedaka,

Our codeline and readme have been recently updated. I kindly request you review the instructions in the readme for the installation process and obtain the latest version from the main branch. Please let me know if you encounter any issues with the code or readme or have any suggestions for improving the readme.

Feel free to raise any problems or questions you may have here.

@hosseinfani

[farinamhz]

Hey @Lillliant, I hope you had a wonderful start to the new year!

I was wondering if you could help us update our README for the Twitter dataset by adding new information to the tables or wherever it's necessary. This might involve including:

• Statistics regarding both original and backtranslated reviews
• Links to the original dataset files
• Links to the review files for each dataset
• ...

If there are any specific links you require from our LADy results on OneDrive that aren't already available on GitHub, please don't hesitate to inform me, and I'll provide you with a public link to access them.

In the meantime, you can take an overall look and update other sections that need updating as well. (I think files are also not updated for example for the baselines in aml)

[Lillliant]

Hi @farinamhz,

For this week, I've added information regarding the twitter dataset and adding information regarding the updated fasttext and bert baselines. I've also added a new image for the abstract aspect model image, which includes the two baselines. This part is already in the pull request.

In the meanwhile, I'm currently taking a look at the other sections and see if they need update. Some of the parts I've added are:

• changing the link of the review files to the new release (the old links didn't open when I try to click on them) and their file size
• updating some of the cited weblinks (e.g., hast's link was the same as ctm)

I also have some questions: in the readme, does google review dataset refer to the twitter dataset, or something else? As well, are sentiment analysis and web app ready for the readme? I've added brief mention of sentiment analysis in the aml structure, but I'm wondering if I can start adding information about AbstractSentimentModel, how to access web app, etc.