# SayamAlt/Fake-Reviews-Detection

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

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

SayamAlt/Fake-Reviews-Detection, dépôt open source à 109 étoiles sur GitHub. Carte Prototype de RepoMasters. Successfully developed a machine learning model…

| Champ | Valeur |
| --- | --- |
| Propriétaire | [SayamAlt](https://repo.masters-masters.com/owners/SayamAlt) |
| Étoiles | 109 |
| Forks | 45 |
| Langage | [Jupyter Notebook](https://repo.masters-masters.com/languages/jupyter-notebook) |
| Licence | Aucune |
| Création | 2022 |
| Sujets | fake-review-detection, machine-learning, machine-learning-algorithms, natural-language-processing, text-processing |
| Rang | [Prototype (100 à 249 ★)](https://repo.masters-masters.com/ranks/rush) |
| Voir sur GitHub | [SayamAlt/Fake-Reviews-Detection](https://github.com/SayamAlt/Fake-Reviews-Detection) |

## Fiche du dépôt

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…

Rang des dépôts qui ont 100 à 249 ★ sur GitHub. Probabilité publiée par carte tirée : 70 %. Rareté : Commune.

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Données : GitHub · Illustration dessinée par RepoMasters à partir de l’identifiant du dépôt et de la couleur de son langage.