Journal article Open Access

Implementing System for Rating Generation by Analysis of Social Media

Ashish Pancham; Dharmesh Sharma; Vivek Sharma; Harshali Patil

Sponsor(s)
Blue Eyes Intelligence Engineering & Sciences Publication (BEIESP)

the increasing utilization of online content, provides a large amount of data resources. People share their experiences, opinions, as well as day to day activities. This results in a large amount of online data which attracts developers to carry out data mining and data analysis. Thus, there is a necessity of social media screening so as to obtain results which can be used for analysis. This paper presents a system, that facilitates the generation of single rating which is obtained by analysis of social media platforms. This rating is generated by carrying out various process like Data extraction, pre-processing, Data analysis, Rating Generation. "ROCIAL" means "Rating Socially", where each enrolled user will be rated upon his social conduct. The idea behind this initiative came up because of the present requirement for online screening. So, basically what our system would do is connect the user’s different social media accounts and analyze them using the criteria which are usually required during the screening process. The main application of our system is during visa allotment process where social media screening is used. So, rather than screening each and every platform individually, our system rocial can be used to generate a rating which will act as a criterion for visa allotment. Another significant application is during the recruitment process. Various companies check the candidate’s social media behavior as a secondary criterion for judging the person. Thus, using ROCIAL this can be obtained quickly and efficiently

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