Opinion Mining For Automated Restaurant Reviews Rating Php

Download Document/Synopsis
This system rates any particular restaurant by detecting hidden sentiments in the feedback received by its customers. The system uses opinion-mining methodology in order to achieve desired functionality. Opinion Mining for Restaurant Reviews is a web application, which takes feedback of various users, and based on the opinion, system will specify whether the posted restaurant is good, bad, or worst. Database of the system have various keywords denoted as negative and positive words, which helps the system to recognize and match the feedback and rank them accordingly. The role of the admin is to post new restaurant and adds keywords in database. This application acts as a boon for food lovers and works as a source advertisements because it makes people aware about the services and the quality of the restaurant. This application is also useful to find out good restaurant with tasty food for the users who travel around the country.


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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