# SayamAlt/Fake-Reviews-Detection

<https://repo.masters-masters.com/en/repos/SayamAlt/Fake-Reviews-Detection>

[Home](https://repo.masters-masters.com/en) › [SayamAlt](https://repo.masters-masters.com/en/owners/SayamAlt) › [Fake-Reviews-Detection](https://repo.masters-masters.com/en/repos/SayamAlt/Fake-Reviews-Detection)

SayamAlt/Fake-Reviews-Detection has 109 stars on GitHub. Its RepoMasters card: Prototype tier. Successfully developed a machine learning model which can…

| Field | Value |
| --- | --- |
| Owner | [SayamAlt](https://repo.masters-masters.com/en/owners/SayamAlt) |
| Stars | 109 |
| Forks | 45 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2022 |
| Topics | fake-review-detection, machine-learning, machine-learning-algorithms, natural-language-processing, text-processing |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [SayamAlt/Fake-Reviews-Detection](https://github.com/SayamAlt/Fake-Reviews-Detection) |

## Repository

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 leg…

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.