YouTube Video Abstractor
Keywords:
Summerization, Natural Language Processing, Summary, Time SavingAbstract
The YouTube Video Abstractor program is dedicated to changing the way users interact with the rich video content available on platforms like YouTube. With video uploads increasing exponentially, the need to summarize quality content has never been greater. Our systems use the power of natural language processing (NLP) and machine learning to deliver comprehensive solutions. The basis of our system is the automatic extraction and analysis of video subtitles to create balanced, mixed and video content. Thanks to advanced language processing techniques, we detect important content and segments in videos and extract important content to improve search performance. This approach not only saves your visitors' valuable time, but also simplifies the content search process. Our YouTube Video Snippets have great potential for different user groups. It provides a way for people with disabilities to follow the content of the movie without having to watch it in its entirety. Content creators can benefit from insights into audience engagement that allow them to refine their content ideas. Additionally, researchers and teachers have useful tools to browse YouTube's vast library to aid in information search for study and business purpose.
References
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- Arpita Sahoo, [2] Dr.Ajit Kumar Nayak, Review Paper on Extractive Text Summarization, 2018
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