Sentiment analysis of netflix multi-genre using support vector machine

HIGHLIGHTS

  • What: The aim of this research is to understand the audience`s sentiment regarding various Netflix web series and their corresponding genres.
  • Who: prabij from the Department of Computer Engineering, PU, Gandaki College of Engineering and Science have published the research work: Molybdenum and Cobalt Silicide Field Emitter Arrays, in the Journal: (JOURNAL)
  • How: This data was then combined with the classified tweets for further analysis. The research results indicated that the Sci-fi genre is the prime choice for the audience. The results showed that Multinomial NB achieved the highest accuracy of . . .

     

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