This report aims to evaluate opinion mining of customers about phone sitting features in cell phones in different brands across the world by using data mining techniques. Therefore, Data for the report has been collected from data scrapping in Qoura which collects opinion of customers. The collected information from the data base has evaluated by using sentiment analysis. The collected information from Qoura transforms the content and extracts data from API’s. In relation to this, information obtains from the research contributed for providing useful information for these features. The collected information from application scrapping has been analysed through sentiment analysis. The application used in this project is python for analysing the data. This working contributed for developing understanding of customer’s feedback on this features through which they get benefited from it. The outcomes of the project provide information that most of the customer provides positive sentiments about Mobile phone sitting features by using data scraping method as this method provide the process of having data in addition On the other hand, negative sentiments of customers specify that they prefer not limit screen time as it support for managing their work. This contributed for developing an understanding of mobile phone sitting feature and to know users consumptions.

Publication Date


Document Type

Master's Project

Student Type


Degree Name

Professional Studies (MS)

Department, Program, or Center

Graduate Programs & Research (Dubai)


Sanjay Modak

Advisor/Committee Member

Ehsan Warriach


RIT Dubai