Abstract:
We can find many culinary recipes online. Some recipes are posted correctly, others are not. Food prepared by reading a recipe may not taste the same. Thus, good reader evaluations are required for suitable meal recipes.
This.net project lets users choose categories and publish recipes. Readers rate and comment on food dishes. Ratings and comments help users find recipes. This project uses machine learning-based emotional analysis to mine data.
Machines analyze text data like recipe reviews for attitudes, emotions, and more using emotional analysis. Linguistic features determine keyword relevance in Text Summarization. Admin will add cooking-related keywords to this food rating system.
The technology automatically rates recipes based on user comments that contain such keywords. It will grade recipes based on user reviews. This technique aids internet recipe searchers.
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.
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