A New Classifier Model on Drug Reviews Dataset by VADER Sentiment Analyzer to Analyze Reviews of the Dataset are Real or Fake based on Machine Learning

A New Classifier Model on Drug Reviews Dataset by VADER Sentiment Analyzer to Analyze Reviews of the Dataset are Real or Fake based on Machine Learning
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© 2022 by IJETT Journal
Volume-70 Issue-7
Year of Publication : 2022
Authors : Manish Suyal, Parul Goyal
DOI : 10.14445/22315381/IJETT-V70I7P208

How to Cite?

Manish Suyal, Parul Goyal, "A New Classifier Model on Drug Reviews Dataset by VADER Sentiment Analyzer to Analyze Reviews of the Dataset are Real or Fake based on Machine Learning" International Journal of Engineering Trends and Technology, vol. 70, no. 7, pp. 68-78, 2022. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I7P208

Abstract
Machine There was a time when the customer needed direct advertising and word of mouth to choose the right product. Nowadays, the internet makes the same work very easily accessible to many people who want to know what others think of an item before buying it. Apart from this, knowing the real approach of the business towards its product can greatly benefit the business. These days people can express their feelings in many ways, such as Twitter, Facebook or Instagram, blog posts, and reviews websites. People can freely express their views about any product and service by coming on all these platforms. Therefore, a scholar can use sentiment analysis in health-related facilities. The scholar will develop such a classifier model keeping the VADER Sentiment Analyzer of sentiment analysis in mind. People‘s opinion is very important, and based on people’s opinion, business is done nowadays, and people are also being helped by their opinions. Many people express their opinions on online platforms like Facebook and Twitter. Nowadays, people’s opinions are needed in every field because business is done. The paper can help people in any field, whether it is the field of business or medicine, or the field of science. The research scholar can apply sentiment analysis to extract important information from them in a hidden form on these opinions. This important information can be very useful for any field such as medicine, business, and other fields. So the research scholar will develop the proposed drugs reviews recommended system model based on the VADER Sentiment Analyzer of sentiment analysis that will analyze the reviews given about the drugs and will tell whether the given reviews are genuine or fake and on the basis, a patient will be recommended drugs through the proposed model.

Keywords
Artificial Intelligence, K-Nearest Neighbor (KNN) Classification Algorithm, Machine learning, Supervised Learning Algorithm, K-Nearest Neighbor (KNN) Classification Algorithm, Labeled Data.

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