Challenged designed by Dr. Chengkai Li
Use provided starting files to train a machine learning model that, given an input sentence, determines whether it is a factual statement that is worth fact-checking, i.e., whether the general public would be interested in knowing whether it is true or not. Your submissions should include a CSV file with some of the following columns: Id: id for a given sentence; Text: sentence's text; Category: the column has two possible values: Yes (indicating a check-worthy sentence) or No (indicating a sentence that is not check-worthy).
Use provided starting files to train a machine learning model that, given an input sentence, determines whether it is a factual statement that is worth fact-checking, i.e., whether the general public would be interested in knowing whether it is true or not. Your submissions should include a CSV file with some of the following columns: Id: id for a given sentence; Text: sentence's text; Category: the column has two possible values: Yes (indicating a check-worthy sentence) or No (indicating a sentence that is not check-worthy).
Submissions from 2023
Machine Learning Text Dataset, Mayur Jadhav
A Naive-Bayes Text Classifier using Laplace smoothing, Prithvidhar Pudu