With the advancement in technology, online shopping has taken a new toll. Customers can access the shopping websites from anywhere with the help of the internet. In this modern era everyone is aware of comment analysis. For example, if a person wants to buy a product, the first thing will do is to s
WEBSITE EVALUATION USING OPINION MINING
With the advancement in technology, online shopping has taken a new toll. Customers can access the shopping websites from anywhere with the help of the internet. In this modern era everyone is aware of comment analysis. For example, if a person wants to buy a product, the first thing will do is to see the review of that particular product. By this way the reviews made a huge impact on the products and on websites. There are number of websites increasing in the internet, which provides various facilities like shopping, trading, online betting etc. Some of them are good and some are questionable like whether the website is beneficial or not. The websites display all the products for the customer to choose from and the customer can post any review or their opinion on the service of the website. The main aim of this project is to provide users with a rating generated according to the shopping website’s performance and standards. There are numerous shopping websites to visit but the legitimacy of all the websites is questionable. Fraud can occur on a regular basis from illegitimate websites. The users may not get the service as per their expectations. There are many renowned shopping websites which do not match their credibility and in turn disappoints the customers or users. The proposed system evaluates the shopping websites based on the reviews or opinions of the experienced customers. The performance of the website is processed down to certain parameters. According to these parameters a certain rating of that particular website is generated, which helps the customer to decide which website to opt for.
The objectives of our project shown as following:
• To examine web evaluation using opinion mining by providing users with a
rating generated according to the website’s performance and standards.
• To provide a facility to Users in which they can easily share their views about
the website. And they can easily decide whether the website is genuine or not.
• To provide a system which ranks the website based on the weight age of the
keywords in database, so the result is appropriate.
Languages and Tool
Visual studio code
Python
Falsk
Jquery
Html,css,JavaScript,Bootstraps
Database: PostgreeSql
With the advancement in technology, online shopping has taken a new toll. Customers can access the shopping websites from anywhere with the help of the internet. In this modern era everyone is aware of comment analysis. For example, if a person wants to buy a product, the first thing will do is to see the review of that particular product. By this way the reviews made a huge impact on the products and on websites. There are number of websites increasing in the internet, which provides various facilities like shopping, trading, online betting etc. Some of them are good and some are questionable like whether the website is beneficial or not. The websites display all the products for the customer to choose from and the customer can post any review or their opinion on the service of the website. The main aim of this project is to provide users with a rating generated according to the shopping website’s performance and standards. There are numerous shopping websites to visit but the legitimacy of all the websites is questionable. Fraud can occur on a regular basis from illegitimate websites. The users may not get the service as per their expectations. There are many renowned shopping websites which do not match their credibility and in turn disappoints the customers or users. The proposed system evaluates the shopping websites based on the reviews or opinions of the experienced customers. The performance of the website is processed down to certain parameters. According to these parameters a certain rating of that particular website is generated, which helps the customer to decide which website to opt for.
With the advancement in technology, online shopping has taken a new toll. Customers can access the shopping websites from anywhere with the help of the internet. In this modern era everyone is aware of comment analysis. For example, if a person wants to buy a product, the first thing will do is to see the review of that particular product. By this way the reviews made a huge impact on the products and on websites. There are number of websites increasing in the internet, which provides various facilities like shopping, trading, online betting etc. Some of them are good and some are questionable like whether the website is beneficial or not. The websites display all the products for the customer to choose from and the customer can post any review or their opinion on the service of the website. The main aim of this project is to provide users with a rating generated according to the shopping website’s performance and standards. There are numerous shopping websites to visit but the legitimacy of all the websites is questionable. Fraud can occur on a regular basis from illegitimate websites. The users may not get the service as per their expectations. There are many renowned shopping websites which do not match their credibility and in turn disappoints the customers or users. The proposed system evaluates the shopping websites based on the reviews or opinions of the experienced customers. The performance of the website is processed down to certain parameters. According to these parameters a certain rating of that particular website is generated, which helps the customer to decide which website to opt for.
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