Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Analysis of User Generated Content on Facebook

Author : Mrs. Vaishali Nilesh Gavandi 1 Prof. Umesh Kulkarni 2

Date of Publication :7th December 2016

Abstract: The social networks such as face book plays important role to collect the information of user perceptions. This information helps to bridge the gaps between service provider and user. The objective of this paper is to search the target users who are interested or sharing their likes and un likes on category such as Entertainment, Education, Travelling, Thinking etc. The service provider will collect this information of the target group and will help to improve their services. The insights of the face book user will be collected using decision tree learning algorithm with the help of ETL. The Standard 3-Tier Architecture is used which helps to handle the data not only meticulously but also be available in ready state for further usage. The entire API is developed using Python .To search the target user the category input is provided and the users who were interested in that field will be displayed.

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