title: Build anew  model for Detecting misogyny in Arabic Text Speech and replacing it with stars symbol Using Deep Learning Techniques
abstract: I prefer a person who knows Arabic because the dataset is Arabic Create a new detection model using a deep learning model that helps to detect misogyny text and clean Arabic content from dirty text with the best accuracy. This is done by giving the model a sentence that includes misogyny speech and the result is a sentence free of misogyny content. the primary data set is which contains two tasks we will work in the two tasks. we will test the model in a different data set DataSetLink : , ......etc the files are the dataset, methodology, ArMI at FIRE 2021 Overview of the First Shared Task that will work in it to improve the accuracy to reach at least 94% and make a new contribution by making the task an informed task b by entering the result as features to task 2 please read all ...
keyphrases: deep learn techniqu, arab text speech, deep learn model, clean arab content, star symbol, misogyni text, arab, misogyni speech, new detect model, dirti text