A Text Extraction and Machine Learning based-solution for Multimedia Filtering and Classification
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Date
2023-06-10
Journal Title
Journal ISSN
Volume Title
Publisher
University of M'sila
Abstract
The objective of this work is to propose a filter and classifier for controlling multimedia content that may be inappropriate. The filter and classifier operate by extracting text from multimedia content and subsequently classifying it using a Naive-Bayes model trained on multiple datasets. The implementation was carried out using the Python environment due to its extensive collection of machine learning-oriented libraries.
Description
Keywords
Multimedia Filtering, Multimedia classification, Machine learning, Text extraction Naïve-Bayes, Python.