Dataset: Amazon Customer Review Data for sentiment analysis Size: 60889 appox. Format: .CSV Period: 2013 to 2019 Categories: 5…… (Mobiles, Smart TV, Books, Mobile Accessories, Refrigerator) Unique_ID: Customized (Primary Key) Review_Header: user’s comment in few words Review_Text: User’s comment in details (3-4 lines) Rating: (1- Very Low, 2 Low, 3 Avg, 4 Good, 5 - Excellent) Posting Period: 2013 to 2019 Own_Rating: for 1-2 Negative, 3 Neutral, 4-5 Positiv
Nowadays, numerous of reviews from buyers spreaded widely on online shopping platform, especially Am...
Internet is an easy way to for the customer to exchange information about the product over the shopp...
This bipartite network contains product ratings from the Amazon online shopping website. The rating ...
This dataset contains 3000 sentences from Amazon product reviews related to Digital cameras and Acce...
Secondary Data. Primary Data could be found here: https://snap.stanford.edu/data/web-Movies.html Th...
In today’s world, the significance of online shopping is growing day by day. The business ideas have...
Abstract: Sentiment analysis is a classicfication process whereby machine learning techniques are ap...
Inexperienced consumers may have high uncertainty about experience goods that require technical know...
The focus of this paper was on Amazon product reviews. The goal of this is to study is two (NLP) for...
Due to the continuous growth of E-Commerce platforms, more and more data is becoming widely availabl...
Recently, Ecommerce has Witnessed Rapid Development. As A Result, Online Purchasing has grown, and t...
In recent times, the trend of online shopping through e-commerce stores and websites has grown to a ...
Our study employs sentiment analysis to evaluate the compatibility of Amazon.com reviews with their ...
Customers’ review in Amazon platform plays an important role for making online purchase decision mak...
Consumer feedback is highly valuable in business to assess their performance and is also beneficial ...
Nowadays, numerous of reviews from buyers spreaded widely on online shopping platform, especially Am...
Internet is an easy way to for the customer to exchange information about the product over the shopp...
This bipartite network contains product ratings from the Amazon online shopping website. The rating ...
This dataset contains 3000 sentences from Amazon product reviews related to Digital cameras and Acce...
Secondary Data. Primary Data could be found here: https://snap.stanford.edu/data/web-Movies.html Th...
In today’s world, the significance of online shopping is growing day by day. The business ideas have...
Abstract: Sentiment analysis is a classicfication process whereby machine learning techniques are ap...
Inexperienced consumers may have high uncertainty about experience goods that require technical know...
The focus of this paper was on Amazon product reviews. The goal of this is to study is two (NLP) for...
Due to the continuous growth of E-Commerce platforms, more and more data is becoming widely availabl...
Recently, Ecommerce has Witnessed Rapid Development. As A Result, Online Purchasing has grown, and t...
In recent times, the trend of online shopping through e-commerce stores and websites has grown to a ...
Our study employs sentiment analysis to evaluate the compatibility of Amazon.com reviews with their ...
Customers’ review in Amazon platform plays an important role for making online purchase decision mak...
Consumer feedback is highly valuable in business to assess their performance and is also beneficial ...
Nowadays, numerous of reviews from buyers spreaded widely on online shopping platform, especially Am...
Internet is an easy way to for the customer to exchange information about the product over the shopp...
This bipartite network contains product ratings from the Amazon online shopping website. The rating ...