Cooking Recipe Rating Based On Sentiment Analysis

Cooking Recipe Rating Based On Sentiment Analysis

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Project Domain / Category
Information Retrieval

Abstract / Introduction

Many cooking recipes are to be had online, a number of them may be accurate others might not. Recipes what you read will no longer be the equal what you find after instruction. There are number of recipes you may find online that are wrong. So so that you can get right recipes, recipes need to be rated by means of the person. Here we propose a machine where person can pick out categories and put up the recipes. Recipes are rated and commented with the aid of the visitors. So that user may additionally turn out to be by way of locating accurate recipe on-line. We will practice sentiment evaluation and textual content summarization method to mine information. Sentiment evaluation is a machine studying method in which system learns and examine the emotions, emotions and so on. Approximately some textual content records like evaluations approximately recipes. In Text summarization, significance of keywords is determined based totally on linguistic features of key phrases. In this device, admin will add keywords which can be applicable to the recipes. System will discover the ones key phrases in comment posted by way of traveller and system will price the recipe as a result. Based on site visitors overview, device will rate the recipe. So it made less complicated for tourist to get accurate recipe. This machine is useful for plenty site visitors who look for recipes on-line.

System Hierarchy:
Admin Module:
 Admin Login: Admin will enter his credentials and may access the gadget
 Add Keywords: Admin will input recipe related key phrases into the system
 View Visitor: Admin can view traveller details.
 View Incorrect Recipes: Admin can view incorrect recipes. User Module:
 User Registration: User ought to register himself via getting into his information.
 User Login: User can login to the gadget the usage of their credentials.
 Post recipe: User will post the recipe.
 View recipe and comment: User can view the recipe of different user and may comment
 View score: User can view the score of the recipes. In this module we will practice data mining algorithm.

Functional Requirements:
System should be able to:

  1. User gets accurate recipes.
  2. Effective graphical user interface
    three. User will get authentic rating of the recipes.
    Four. User can without difficulty locate recipes
    The gadget pursuits at providing an effective graphical person interface for managing on line cooking recipes, it shall additionally offer the consumer commented recipes. The layout is such that the person does not have get entry to the device without net connection. The system predicts and endorse the correct recipes to customers primarily based on key phrases instead of phrase. Therefore the consumer by no means has to fear about false and inappropriate recipes. The simple interface of the system has capabilities like adding recipes, casting off or updating recipes, view of rated recipes and rating based totally on user comments can easily find proper rating of the recipes.

Tools:
• Microsoft SQL Server 2008
• Visual Studio 2010
• SentiWordNet
• Searching Tools – Apache Lucene 3.0.Three
• Stanford NLP – POS Tagging
Supervisor:
Name: Tayyaba Sehar

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