GitHub / anvdn / COVID19RetweetPrediction
We carried out thematic clustering and differential prediction of number of retweets with Gradient Boosting and Quantile regression. We also performed text embedding with Bidirectional Encoder Representations (BERT, Google) for deep prediction with TensorFlow
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anvdn%2FCOVID19RetweetPrediction
PURL: pkg:github/anvdn/COVID19RetweetPrediction
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 11.1 MB
Dependencies parsed at: Pending
Created at: over 3 years ago
Updated at: over 3 years ago
Pushed at: over 3 years ago
Last synced at: over 2 years ago
Topics: bert, clustering, gradient-boosting, neural-networks, quantile-regression, semantic