Efficient Implementation using Multinomial Naive Bayes for Prediction of Fake Job Profile
Prof. R. S. Shishupal, Varsha Varsha, Supriya Mane, Vinita Singh, Damini Wasekar · International Journal of Advanced Research in Science Communication and Technology · 2021
The growing social media has increased the chances of fake job postings. To avoid fraudulent posts for job, an android application is designed for classification using machine learning. This paper proposes the implementation and working of machine learning based android application. For these various classifiers are used and results of these classifiers are compared for prediction of fake job profiles. Various single classifiers are used and based on the experimental results ,Multinomial Naive Bayes is the best classification to detect fake job over other classifiers.