search

abhisheks008 / ML-Crate

ML-Crate stands as the ultimate hub for a multitude of exciting ML projects, serving as the go-to resource haven for passionate and dedicated ML enthusiasts!🌟💫 Devfolio URL, https://devfolio.co/projects/mlcrate-98f9
https://quine.sh/repo/abhisheks008-ML-Crate-409463050
MIT License
180 stars 215 forks source link

Twitter Sentiment Analysis #582

Closed JagritiGautam793 closed 4 months ago

JagritiGautam793 commented 4 months ago

ML-Crate Repository (Proposing new issue) Project Title :Twitter sentiment analysis Aim :to predict whether a comment is positive or negative on twitter. Dataset:https://www.kaggle.com/datasets/kazanova/sentiment140 This project comprises of the comparison between the Vader and RoBERTA model on tweets sentimental analysis .In summary, VADER is quick and fairly robust but less accurate than RoBERTa overall. RoBERTa requires more effort with fine-tuning but can achieve state-of-the-art accuracy for Twitter sentiment if properly trained. The choice depends on the use case's requirements for speed, customization, and accuracy.In last the transformer pipelines is also applied to match on the speed and accuracy of the tweets analysis ...Roberta and transformer pipelines are predicting the tweets in more accurate way on the basis of human context ..

github-actions[bot] commented 4 months ago

Our team will soon review your PR. Thanks @JagritiGautam793 :)

abhisheks008 commented 4 months ago

image

Please fix it up using the REAME template, https://github.com/abhisheks008/ML-Crate/blob/main/.github/readme_template.md

JagritiGautam793 commented 4 months ago

495