Abstract

Abstract: One of the most fundamental aspects of background checks is an education verification process. Market conditions are becoming increasingly harsh, forcing individuals to resort to any means to get a job. A significant number of job seekers are misrepresenting their qualifications to attract the attention of potential employers. It is not easy to detect unethical acts such as the falsification of studies, fake institutions, or false claims which makes it necessary to carry out background checks. An average of two to 2.5 million students graduate each year in India. It is all the more important to introduce rigorous education verification procedures given such a large influx of graduates. Companies and institutions, since they have their databases for verifying information on individuals, also use third-party education verification services. We are developing and building a new system called TPGIT to check students' educational activities using email logs in this project. TPGIT is an innovative, cloudbased service that automates the student verification process in colleges and universities. For this purpose, incoming emails are extracted and grouped according to the process model they belong to. Then, the emails of each process model are divided into subgroups and assigned a label indicating the type of business activity. These tasks are performed by using an unsupervised learning technique in conjunction with semantic similarity measurement methods. In addition, this method enables the labelling of emails with activity names that can be used for activity detection in new incoming emails, triggering an automatic response to the verifier. The tool is evaluated based on the relevance of the extracted emails.

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