Open AccessFramework to Analyze Customer’s Feedback in Smartphone Industry Using Opinion Mining
Author(s) -
Mayank Gupta,
Shoney Sebastian
Publication year - 2018
Publication title -
international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 22
ISSN - 2088-8708
DOI - 10.11591/ijece.v8i5.pp3317-3324
Subject(s) - big data , sentiment analysis , computer science , analytics , dominance (genetics) , key (lock) , data science , work (physics) , customer intelligence , customer retention , business , marketing , data mining , computer security , artificial intelligence , engineering , mechanical engineering , biochemistry , chemistry , gene , service quality , service (business)
In the present age, cellular phones are the largest selling products in the world. Big Data Analytics is a method used for examining large and varied data, which we know as big data. Big data analytics is very useful for understanding the world of cellphone business. It is important to understand the requirements, demands, and opinions of the customer. Opinion Mining is getting more important than ever before, for performing analysis and forecasting customer behavior and preferences. This study proposes a framework about the key features of cellphones based on which, customers buy them and rate them accordingly. This research work also provides balanced and well researched reasons as to why few companies enjoy dominance in the market, while others do not make as much of an impact.