• Corpus ID: 241035366

Classifying YouTube Comments Based on Sentiment and Type of Sentence

  title={Classifying YouTube Comments Based on Sentiment and Type of Sentence},
  author={Rhitabrat Pokharel and Dixit Bhatta},
As a YouTube channel grows, each video can potentially collect enormous amounts of comments that provide direct feedback from the viewers. These comments are a major means of understanding viewer expectations and improving channel engagement. However, the comments only represent a general collection of user opinions about the channel and the content. Many comments are poorly constructed, trivial, and have improper spellings and grammatical errors. As a result, it is a tedious job to identify… 


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