International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 04 Issue: 03 | Mar -2017
p-ISSN: 2395-0072
www.irjet.net
Smart Feedback Analysis System Srushti Kharat1, Kajal Bansode2, Radhika Pawar3, Pranjali Kulkarni4 1Student,
Dept. of MKSSS’ CCOEW, Pune, Maharashtra, India Dept. of MKSSS’ CCOEW, Pune, Maharashtra, India 3Student, Dept. of MKSSS’ CCOEW, Pune, Maharashtra, India 4Student, Dept. of MKSSS’ CCOEW, Pune, Maharashtra, India ---------------------------------------------------------------------***--------------------------------------------------------------------2Student,
Abstract - The project entitled-smart feedback analysis
The aim of system is to find out the feedbacks from various websites given by stakeholders such as parents, students, faculty, industry etc. by using the technique of web crawling. This searched and captured feedbacks are stored into database and can be analyzed using various sentiment analysis techniques. Thus the negative feedback will help the college to improve the quality of the facilities and resources provided by them.
system, works on acquiring feedbacks or voting of the college from stakeholders with the help of web crawling technique & sentiment analysis. This focuses on acquisition of the feedback regarding the college administration, faculties etc., from various social networking and educational websites. This feedback acquisition is done by crawling technique. With the advent in the computer technology and the popularity of social media, social media behavior has gained high importance. This gained popularity needs a proper interpretation and processing in order to use the feedbacks generated for organization betterment. Proposed system is a kind of smart system which first performs the web crawling of the various feedbackcontaining websites. By applying Sentiment analysis on the feedback, the feedback statements are categorized into positive or negative. The negative feedback can help the college for improving the quality of facilities and resources provided. However, the positive feedback helps the college to gain popularity in the industry which ultimately leads to approaching of various companies to the college, for activities like placements, seminars, guest lectures etc.
The proposed system is a smart system. Smart systems are those which incorporate functions of sensing, actuation, and control in order to describe and analyze a situation, and make decisions based on the available data in a predictive or adaptive manner, thereby performing smart actions. However, the positive feedback helps the college to gain popularity in the industry which ultimately leads to approaching of various companies to the college, for activities like placements, seminars, guest lectures etc. The sentiment analysis can be performed by using Naïve Bayes Classification algorithm.
1.1 Software and Hardware Requirements 1.1 Software Requirements Operating System: Windows 7 with Service Pack 1 and onwards Windows. IDE: Microsoft visual studio 2015 and Sqlsever 2012 Programming Language: C#
Key Words: Web Crawling, Crawling Techniques, Sentiment Analysis, Naïve Bayes Classification, Supervised Learning, Machine Learning, Smart System
1. INTRODUCTION
Now-a-days people state their views, comments, statements on various social networking websites. The alumni’s or parents of students can state their feedbacks about the college on social networking websites. But the college is unaware about the comments, reviews, liking, and feedbacks.
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1.2 Hardware Requirements: System Type: 64- bit Operating System CPU Speed: 2GHz RAM: 4.00 GB
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