SayamAlt / Fake-Reviews-Detection

Successfully developed a machine learning model which can predict whether an online review is fraudulent or not. The main idea used to detect the fake nature of reviews is that the review should be computer generated through unfair means. If the review is created manually, then it is considered legal and original.

Date Created 2022-04-14 (2 years ago)

Commits 6 (last one 2 years ago)

Stargazers 70 (0 this week)

Watchers 1 (0 this week)

Forks 35

License unknown

Ranking

RepositoryStats indexes 584,777 repositories, of these SayamAlt/Fake-Reviews-Detection is ranked #369,802 (37th percentile) for total stargazers, and #536,275 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #9,284/17,124.

SayamAlt/Fake-Reviews-Detection is also tagged with popular topics, for these it's ranked: machine-learning (#5,653/7935), natural-language-processing (#1,019/1412), machine-learning-algorithms (#195/274)

All Topics

text-processing machine-learning fake-review-detection machine-learning-algorithms natural-language-processing

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Recent Commit History

6 commits on the default branch (main) since jan '22

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The only known language in this repository is Jupyter Notebook

updated: 2024-11-18 @ 10:36pm, id: 481614868 / R_kgDOHLTcFA