Research Article

[Retracted] Sentiment Analysis of Statements on Social Media and Electronic Media Using Machine and Deep Learning Classifiers

Table 2

Different types of participants and the Videos used by them.

S.No.Type of participantsType of contentsNumber of users
MaleFemaleTotal

1Sport videos watchersSwimming, badminton, wrestling, Olympic shooting, cricket, football, tennis, hockey, ice hockey, kabaddi, gymnasium, weight lifting, volleyball, table tennis, baseball, Formula, MotoGP, chess, boxing, fencing, and basketball527
2Movie videos watchersAction, comedy, drama, fantasy, horror, mystery, romance, thriller, and western224
3Social video watchersFacebook, Instagram, Twitter, tutorials and how-to videos, product demo videos, user-generated videos, announcements/reveals, interview, and Q&A videos, event videos, behind-the-scenes, videos that promote exciting offers and deals, tell relatable stories, and final thoughts246
4Student/Learner videos watchersTeaser videos and course videos415
5Medical/Professional/Business man content watchersSurgery videos, Gynaecology and STDs, health and fitness, orthopaedics, cardiology, plastic surgery, medical examination, clinical skills, product videos, explainer videos, onboarding videos, internal training videos, testimonial videos, promotional videos, company culture videos. video voicemails, aerospace engineering videos, chemical engineering videos, electrical and electronics engineering videos, petroleum engineering videos, telecommunication engineering videos, machine learning and artificial intelligence videos, robotics engineering videos, and biochemical engineering videos.628