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Inviting the use of flairR to help us improve the user experience for R users

FlaiR - Streamlining NLP and Custom Deep Learning Model

We are currently in the process of testing flairR, an R wrapper specifically designed to train transformers and perform NLP tasks using Flair NLP in an R environment. This package is tailored to provide core sequence tagging features, including part-of-speech tasks, named entity recognition, and transformer-based sentiment analysis, especially for users in the social sciences who are accustomed to using R.

We encourage you to engage with our package in various ways:

  • You can fork our repository to contribute to its development, whether it’s adding new features or enhancing existing ones.

  • If you have suggestions for improvements or find any bugs, please submit pull requests to help us make the package more robust and reliable.

  • Your thoughts and feedback on the package are highly valued. Sharing your experiences and suggestions will assist us in making it even better and more user-friendly.

We genuinely appreciate your interest and support in our project. If you have any questions or require further assistance, please do not hesitate to reach out to me.

Website: https://github.com/davidycliao/flaiR

Github: davidycliao.github.io/flaiR