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 [login to view URL] which contains two tasks we will work in the two tasks.
we will test the model in a different data set
DataSetLink : [login to view URL] , [login to view URL] ......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 data before making a bid.
13 freelancers are bidding on average $244 for this job
PYTHON, DEEP LEARNING, NLP EXPERT HERE!!! "Satisfy the client with my ability and passion" This is my slogan here. I hope you will be interested in me. Thanks.
Deep AI/ML research & prototyping background, especially in advanced NLP, but in Polish and English. Very basic knowledge of Arabic, but willing and able to learn very fast.