Digital Repository

FOODY - Food recipe recommendation system using sentiment analysis based neural network

Show simple item record

dc.contributor.author W.H.R.M, Wickramanayaka,
dc.date.accessioned 2023-08-03T06:32:34Z
dc.date.available 2023-08-03T06:32:34Z
dc.date.issued 2020
dc.identifier.citation Wickramanayaka, W.H.R.M (2021) FOODY - Food recipe recommendation system using sentiment analysis based neural network. BEng. Dissertation, Informatics Institute of Technology en_US
dc.identifier.issn 2016371
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/1608
dc.description.abstract Present world has seen rapid growth online review sites with a multitude of platforms available such as yummly.com, delish.com, foodnetwork.com, allrecipies.com and more food lovers tend to do searching recipes throughout recipe websites, proving that the reviews are significantly influential on food cooking process. However, reading, summarizing and categorizing hundreds of reviews by their subject matter is a time consuming and a tedious task considering the current day busy lifestyles. And also, it is challenging to understand the trends and summaries the general opinion of food lovers. Because, the real insights are hidden in the reviews used by the food recipe searchers, due to the unstructured nature of the texts. Foody is a recipe recommendation system which will use concepts like sentiment analysis, word embedding, web crawling and ranking to recommend the best salon for the user’s required service by analyzing reviews by customers en_US
dc.language.iso en en_US
dc.publisher IIT en_US
dc.subject NLTK en_US
dc.subject LSTM en_US
dc.title FOODY - Food recipe recommendation system using sentiment analysis based neural network en_US
dc.type Thesis en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search


Advanced Search

Browse

My Account