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Analysing Cyberbullying using Natural Language Processing by Understanding Jargon in Social Media
Cyberbullying is of extreme prevalence today.
Automated News Summarization Using Transformers
The amount of text data available online is increasing at a very fast pace hence text summarization has become essential.
Abstractive Text Summarization
BIG-bench Machine Learning
+4
Analysis of Online Toxicity Detection Using Machine Learning Approaches
Social media and the internet have become an integral part of how people spread and consume information.
Comparative Analysis of Machine Learning and Deep Learning Algorithms for Detection of Online Hate Speech
In our paper, we concluded that BERT based embeddings give the most useful features for this problem and have the capacity to be made into a practical robust model.
Similarity-based Distance for Categorical Clustering using Space Structure
To group categorical data many clustering algorithms are used, among which k- modes algorithm has so far given the most significant results.
Movie recommender system with metaheuristic artificial bee
Recommender systems are information retrieval tool that allocates accurate recommendations to the specific users.
