Spam ∅

A Spam Detector Extension

Users68

Rating5.0

Reviews2

Manifest versionV3

7-day growth+4

7-day growth rate+6.25%

Preview

Spam ∅ Media preview

2 assets

Trend

30-day user trend

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User Growth Over Time

Rating trend

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30-day rating change

Start

5.00

Latest

5.00

30-day rating change

0.00

2026年5月29日2026年6月4日

Growth overview

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1-day growthGrowing

+1+1.49%

7-day growthGrowing

+4+6.25%

30-day growthFlat

00%

Technical snapshot

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Version1.1

ManifestV3

Size4.95MiB

Languages1English

Published--

Store updated--

Last crawled--

Overview

Product summary

Review the store description, core capabilities, and common use cases.

A Spam Detection Tool for YouTube using Naive Bayes Classifier and Youtube data API.

To summarize, the developers developed a machine learning model using a Naive Bayes Classifier Algorithm to detect spam. This model was integrated into a browser extension that allows the user to collect comments from the YouTube Platform. This browser extension uses the YouTube Data API to collect or scrape comments from the website which will then be fed to the Naive Bayes algorithm for classification.

The Naive Bayes Algorithm developed was given training data that was also scraped from the website using the YouTube Data API and was taken from the videos of Popular channels such as Linus Tech Tips and PewDiePie. All these were collected, cleaned, and manually labeled as spam or ham following a set of criteria that determines what makes a spam comment.

This dataset was then evaluated using Evaluation Metrics such as Accuracy, Recall, Precision, and F1 Score. The dataset was made to gain a satisfying score from these metrics to get an accurate model.

Developed by Students of Bicol University

Reviews