We extracted 2, 00,773 of mobile devices reviews using data extraction program of ten different makes, in which the products belong to major categories of mobile brands: Samsung, iPhone, Micromax, Vivo, Redmi, Panasonic, Motorola, Lenovo, Oppo, and Nokia. Those online reviews were posted by 1, 29,061 number of users. Each review include the following information 1) product name, 2) user name, 3) ratings, 4) review title, 5) upvote, 5) downvote, 7) date, 8) review text, 9) userid, 10) productid. these reviews are unfiltered and can be used for spam detection, sentiment analysis, recommender system, etc
In the present age, cellular phones are the largest selling products in the world. Big Data Analytic...
In the context of user-generated content (UGC), mobile devices have made it easier for consumers to ...
Usage of mobile phones rapidly increased for the last decade globally. Introducing smart phones has...
We extracted 2, 00,773 of mobile devices reviews using data extraction program of ten different make...
Due to the increase in demand for e-commerce with people preferring online purchasing of goods and p...
In this report, we propose a system for mining on-line user product reviews. Each sentence in a revi...
AbstractIn recent years, the dramatic increase of smartphone and tablet applications has allowed use...
This dataset has been collected from two different sources. The first dataset was taken from [1] and...
With the rapid growth of the mobile commerce, firms have been trying to get their online channels op...
AbstractUser review is a crucial component of open mobile app market such as Google Play Store. Thes...
Product reviews are the individual’s opinions, judgement or belief about a certain product or servic...
Due to the increase in demand for e-commerce with people preferring online purchasing of goods and p...
The use of mobile phones is increasing all the time. These phones have become increasingly vital and...
In the present age, cellular phones are the largest selling products in the world. Big Data Analytic...
Product reviews are the individual’s opinions, judgement or belief about a certain product or servic...
In the present age, cellular phones are the largest selling products in the world. Big Data Analytic...
In the context of user-generated content (UGC), mobile devices have made it easier for consumers to ...
Usage of mobile phones rapidly increased for the last decade globally. Introducing smart phones has...
We extracted 2, 00,773 of mobile devices reviews using data extraction program of ten different make...
Due to the increase in demand for e-commerce with people preferring online purchasing of goods and p...
In this report, we propose a system for mining on-line user product reviews. Each sentence in a revi...
AbstractIn recent years, the dramatic increase of smartphone and tablet applications has allowed use...
This dataset has been collected from two different sources. The first dataset was taken from [1] and...
With the rapid growth of the mobile commerce, firms have been trying to get their online channels op...
AbstractUser review is a crucial component of open mobile app market such as Google Play Store. Thes...
Product reviews are the individual’s opinions, judgement or belief about a certain product or servic...
Due to the increase in demand for e-commerce with people preferring online purchasing of goods and p...
The use of mobile phones is increasing all the time. These phones have become increasingly vital and...
In the present age, cellular phones are the largest selling products in the world. Big Data Analytic...
Product reviews are the individual’s opinions, judgement or belief about a certain product or servic...
In the present age, cellular phones are the largest selling products in the world. Big Data Analytic...
In the context of user-generated content (UGC), mobile devices have made it easier for consumers to ...
Usage of mobile phones rapidly increased for the last decade globally. Introducing smart phones has...