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Sentimental Trend Analysis of an E-commerce Website

Author(s):

Arun K H , Acharya Institute of Technology; Dr. Mahesh G, BMS Institute of Technology; Srinidhi R Shastri, Acharya Institute of Technology; Shreya, Acharya Institute of Technology

Keywords:

Data Analysis, Data Mining, Data Visualization

Abstract

In recent years, we have seen a tremendous growth in the users who choose to shop from e-commerce websites, survey says that a growth of 115% will be seen in online shopping by the end of this year. As good as it sounds, this has hugely deteriorated the market of local stores and lost the touch of traditional marketing. The owners of these traditional businesses are incurring huge losses and are losing customers as a result of poor decision making. This paper intends to help these businessmen re-establish their business by providing them with important data that will help them in making important business decisions and thereby boosting their sales. In our proposed system, We have extracted data from successful e-commerce websites and performed data analysis using data mining and data visualization techniques. we have 4 modules, (i)Individual Product Analytics (ii) Sales Analytics (iii) Market Performance Prediction and (iv) Product Trends.

Other Details

Paper ID: IJSRDV7I50414
Published in: Volume : 7, Issue : 5
Publication Date: 01/08/2019
Page(s): 687-691

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