Detection of fake reviews using NLP &Sentiment Analysis
P. Devika, A Veena, E. Srilakshmi, A. Ranavardhan Reddy, E. K. Rithick Praveen
Abstract
In this COVID-19 scenario the majority have an interest in on-line searching. So, many folks order the merchandise depends on the previous reviews. These reviews square measure enjoying necessary role in creating purchase choices. however, in these reviews' spammers might manufacture pretend reviews because of such behavior of spammers clients would I mislead and create the incorrect call to beat this drawback we've to spot the actual one who posed reviews over just once and therefore the admin can delete that review supported the customer review info.
Topics & Concepts
Computer scienceSentiment analysisArtificial intelligenceCoronavirus disease 2019 (COVID-19)Order (exchange)Natural language processingFinanceBusinessDiseaseMedicinePathologyInfectious disease (medical specialty)Spam and Phishing DetectionMisinformation and Its ImpactsSentiment Analysis and Opinion Mining