Binary-Classification-using-N-Gram-Model-on-Text-Data | rating system of the Amazon product review data

Binary-Classification-using-N-Gram-Model-on-Text-Data is a Python library. Binary-Classification-using-N-Gram-Model-on-Text-Data has no bugs, it has no vulnerabilities and it has low support. However Binary-Classification-using-N-Gram-Model-on-Text-Data build file is not available. You can download it from GitHub.

This project is an implementation of a pre-rating system of the Amazon product review data which determines the helpfulness of a review given by a customer and whether it would be beneficial to show that on the product page or not. It is a binary classification problem which predicts the helpfulness score as 1 if a certain review is actually helpful and predicts 0 otherwise. This algorithm uses the N-Gram model to convert the review text into TF-IDF values and then presents a comparative analysis of four common classification algorithms that are implemented without the use of any existing machine learning libraries in Python.