machine learning

sentiment analysis on cooking

Rating Based on Sentiment Analysis

You will find a number of recipes online. Some might be correctly posted, some may not. Recipes that you read will not be the same as what you find after preparation. There are a number of recipes you will find online which are incorrect. So in order to get the right recipes, recipes must be rated by the user. Here we propose a system where users can select categories and post the recipes. Recipes are rated and commented by the visitors so that users may end up finding the correct recipe online. We will apply sentiment analysis and text summarization approaches to mine data. Sentiment analysis is a machine learning approach in which a machine learns and analyzes the sentiments, emotions, etc., about some text data like reviews about recipes. In text summarization, the importance of keywords is decided based on linguistic features of keywords. In this system, the admin will add keywords that are relevant to the recipes. The system will find those keywords in comments posted by visitors and the system will rate the recipe accordingly. Based on visitors' reviews, the system will rate the recipe, making it easier for visitors to get the correct recipe. This system is helpful for many visitors who look for recipes online.

Features:

  • Admin Login: Admin will enter credentials and access the system.
  • Add Keywords: Admin will enter recipe-related keywords into the system.
  • View Visitor: Admin can view visitor details.
  • View Incorrect Recipes: Admin can view incorrect recipes.
  • User Registration: Users must register by entering their details.
  • User Login: Users can log in using their credentials.
  • Post Recipe: Users can post recipes.
  • View Recipe and Comment: Users can view others' recipes and comment.
  • View Rating: Users can view recipe ratings. Data mining algorithms will be applied in this module.

Software Requirements:

  • Windows 7 or higher
  • Microsoft SQL Server 2008
  • Visual Studio 2010

Hardware Components:

  • Processor – i3 and above
  • Hard Disk – 5 GB
  • Memory – 1GB RAM

Advantages of the Proposed Project:

  • Users will get correct recipes.
  • Effective graphical user interface.
  • Users will get genuine ratings of the recipes.
  • Users can easily find recipes.

Disadvantages:

  • Users who don’t have an internet connection can’t access the system.
  • The system can mine keywords rather than phrases.

Application: This application can be used by many users who look for recipes online.

IEEE Links:

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