As we are working on detecting hate speech, we will be using NLP(Natural Language Processing) .
NLP is a role model of computer science especially in the artificial intelligence and machine learning fields.
The do’s in this thesis will be:
At first, we will collect our data from online platforms.
Then, we will preprocess the data by cleaning, tokenizing, and data labeling.
We will apply some algorithms like naïve Bayes, and decision trees, and after that, we will find out the accuracy,
and f1 score to see the highest percentage of hate speech detection.