Youtube Transcript Summarizer
Year: 2024
Type: article
Abstract: Due to the proliferation of internet video content, especially on sites like YouTube, viewers are frequently presented with long videos that cover a wide range of subjects. The YouTube Transcript Summarizer tool presented in this project uses natural language processing (NLP) to provide succinct and insightful summaries of YouTube video transcripts. When a video link is entered, the program obtains the transcript, analyzes the content to extract important details, and displays a condensed synopsis that emphasizes the most important parts. With the help of the time-saving summarizer, users may grasp the main points of a video without having to watch it through to the end. It can be used in a variety of contexts, including news, entertainment, and education, when viewers want to quickly understand long movies. This application, which was developed utilizing natural language processing (NLP) techniques such as sentence segmentation, keyword extraction, and abstractive or extractive summarizing, gives users choice by providing them with either thorough or brief summaries, depending on their preferences. Potential uses for the YouTube Transcript Summarizer include automatic indexing, content suggestion, and instructional resources. It may also be connected with well-known platforms to improve accessibility even more, making it a useful tool for researchers, students, and casual visitors
Author: Dhruv Gupta, Kunal Mirchandani, Taha Vaghela, Vidit Dave, Prof.Ruchita Sharma
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6949548199
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