New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

HF pipelines for sentiment analysis #8

Open

santarabantoosoo opened this issue Jul 16, 2022 · 0 comments

Assignees

Projects

Collaborator

santarabantoosoo commented Jul 16, 2022 •

edited

Loading

using Huggingface pipelines to check the performance of XLM-T model on a 10-20 sample of tweets.

We will check how well the model performs by manually applying sentiment analysis on the same tweets and compare by an Italian speaker.

santarabantoosoo created this issue from a note in trieste-covid (current sprint)

santarabantoosoo assigned Harshul-24

santarabantoosoo moved this from current sprint to review in progress in trieste-covid

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment