Abstract:
With the rapid growth of web technology there is a huge amount of data present in
the web for internet users. Such data is mainly from the social media such as
facebook, twitter, etc., where millions of people express their views in their daily
interaction which can be their sentiments or opinions about a particular thing. Large
amount of data also presents in the forms of reviews and ratings in many online
shopping websites such as Jumia, Alibaba. In order to automate the analysis of such
data the area of sentiment analysis is used. Sentiment analysis is extremely useful in
social media monitoring as it allows us to gain an overview of the wider public
opinion behind certain product. With the advent to social media the number of
reviews for any particular recipe is in millions, as there exist thousands of websites
where that particular recipe exists. As the numbers of reviews are very high the user
ends up spending a lot of time searching for best recipe based on the experiences
shared by review writers. This cooking recipe rating based on sentiment analysis
project presents a sentiment-based rating approach for certain same type of recipes
(like chips masala recipes) which enable the visitors to be able to vie recipe,
comment on the recipe, like or dislike and be able to rate as per the well-being of the
recipe and ingredients. The recipe users are able to see the analysis based on visitor
comments and ratings. The best recipe is the one that is rated by most visitors and
its saves them time of spending searching for the best recipe. The System is
developed using PHP. It fully meets the objectives of the system for which it has
been developed. From the tests performed it show improvement on the overall
performance as per time utilization. The system has brought about faster access to
recipes by visitors and users of the system by analyzing the top-rated recipe. This
project can be applied to any restaurant that needs to improve through providing the
best recipes to customers since they are able to prepare the best recipes for customer
satisfaction.
