id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_lfq3pzuz3jatznbhmhpaxgyihy	Sindhu Abro	Automatic Hate Speech Detection using Machine Learning: A Comparative Study	2020	8	.pdf	application/pdf	6240	674	62	Automatic Hate Speech Detection using Machine Learning: A Comparative Study feature engineering techniques and machine learning algorithms study in the area of detecting automatic hate speech messages. performance of these approaches to classify hate speech classifiers on standard hate speech datasets. 4 Word2vec It is a technique used to learn vector representation of words, which can further be used to train machine learning models. 10 K Nearest Neighbor KNN It's a simple text classification algorithm, which categorize the new data using some similarity measure by comparing it with all available data. [26] used an ML-based approach to classify hate speech in NLP techniques to classify hate speech messages. best works on hate speech datasets (discussed in Section III). classifiers over three different feature engineering techniques, performance in predicting hate speech because the features features and classifiers performed well for two classes (i.e. features for hate speech detection on twitter.	./cache/work_lfq3pzuz3jatznbhmhpaxgyihy.pdf	./txt/work_lfq3pzuz3jatznbhmhpaxgyihy.txt