BENZAOUI, IsmailBENZAOUI, AyaSupervisor :Mahmoud, BRAHIMI2023-07-062023-07-062023-06-10http://dspace.univ-msila.dz:8080//xmlui/handle/123456789/40052The 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.enMultimedia Filtering, Multimedia classification, Machine learning, Text extraction Naïve-Bayes, Python.Thesis