Abstract: The Multilingual YouTube Transcript Summarizer project utilizes machine learning and natural language processing techniques to provide an automated summary of the transcripts of YouTube videos. The project involves extracting the text from the video transcripts, analyzing the language patterns, and using algorithms to generate a concise summary of the content. This technology can assist users in quickly identifying key points and important information within lengthy videos. The project utilizes machine learning techniques to continually improve the quality and accuracy of the summaries, ensuring that they are relevant and useful for viewers. Natural language processing is also utilized to identify important keywords and phrases within the text and to analyze the tone and sentiment of the content. The YouTube Transcript Summarizer project represents an exciting advancement in the field of artificial intelligence, offering a powerful tool for anyone looking to save time and streamline their video-watching experience.

Keywords: Natural language processing (NLP), Machine learning, Text mining, Language detection, Keyword extraction, Speech recognition, Text classification

PDF | DOI: 10.17148/IJARCCE.2023.124183

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