| Popis: |
In recent years, there has been a great increase in the number of online job portals. However, some of the jobs being posted on these job portals are fraud and can lead to the theft of confidential data and personal information. So, fake job posting analysis is going to be a great concern for all. Thus by performing an exploratory data analysis on a pool of job that include both actual and phoney jobs, it is simple to identify these bogus job posts. It is possible to identify fake jobs and tell them apart from actual jobs using a variety of machine learning methods. This study also discusses the tasks of data cleansing, pre-processing and analysis. Finally, Support Vector Machine and Random Forest methods are applied to cleaned and preprocessed data to find the accuracy and precision. These classification models are then compared to find the classification algorithm with the highest accuracy and precision. |
