Opinion Mining For Automated Restaurant Reviews Rating

Download Document/Synopsis
Here we propose an advanced Restaurant Review system that detects hidden sentiments in feedback of the customer and rates the restaurant accordingly. The system uses opinion mining methodology in order to achieve desired functionality. Opinion Mining for Restaurant Reviews is a web application which gives review of the feedback that is posted. The System takes feedback of various users, based on the opinion, system will specify whether the posted restaurant is good, bad, or worst. We use a database of sentiment based keywords along with positivity or negativity weight in database and then based on these sentiment keywords mined in user feedback is ranked. Once the user login to the system he views the restaurant and gives feedback about the restaurant. System will use database and will match the feedback with the keywords in database and will rank the feedback. The role of the admin is to post new restaurant and adds keywords in database. This application is useful for all the people who are food lovers. This application also works as an advertisement which makes many people aware about the restaurant quality. When the user clicks on a particular restaurant, user can view the restaurant and give comment about the restaurant. This application can be used for the users who like to try different variety of foods. This application is also useful for the users who travel around the country. This system helps to find out good restaurant with tasty food. The system is also useful for those who like to comment.



Advantages
  • User can easily share his view about the restaurant.
  • People can easily decide whether the restaurant is good or bad by using this application.
  • This application is more useful for the users who love food.
  • Since system ranks the feedback based on the weight age of the keywords in database, so the result is appropriate.
Disadvantages
  • System will match the opinion with those keywords which are in database rest of the words are ignored by the system.

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