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A NLP Framework to Generate Video from Positive Comments in Youtube

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Part of the Lecture Notes in Networks and Systems book series (LNNS,volume 451)

Abstract

Video-sharing sites platforms like YouTube have unique architecture and atmosphere. The comments section is one of the evolution that attracted the users towards expressing opinions and sharing more about videos. Opinions can be used to examine knowledge, user behavior analysis and provide the creator with more ideas to create videos. This paper proposed a novel NLP framework to examine user comments on YouTube and use sentiment analysis to create a short video from positive comments. The results of this study suggest that the framework could be effective to promote the original video using classified community comments. In addition, the results of our implementation indicate that such as framework can be integrated to detect some comments on YouTube and remove negative comments before even posting them.

Keywords

  • NLP
  • Short-video
  • Automation
  • Video generation
  • Sentiment analysis

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  • DOI: 10.1007/978-3-030-99619-2_19
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Correspondence to Hamza Salem .

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Salem, H., Mazzara, M. (2022). A NLP Framework to Generate Video from Positive Comments in Youtube. In: Barolli, L., Hussain, F., Enokido, T. (eds) Advanced Information Networking and Applications. AINA 2022. Lecture Notes in Networks and Systems, vol 451. Springer, Cham. https://doi.org/10.1007/978-3-030-99619-2_19

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