Learning to Summarize YouTube Videos with Transformers: A Multi-Task Approach
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This project proposes a video summarizing system to summarize the YouTube video transcripts without losing the key elements and also includes the Audio feature to read out the summary(To save the time which is spend on watching the whole video)
VaishnaviGaikar/Youtube-Transcript-Summarization
Folders and files, repository files navigation, youtube-transcript-summarizer.
Just provide the link to the youtube video on colab and download its summary. For a UI experience I've provided jupyter code also (which doesn't includes summarization code)
Algorithm :
- Extract transcript using ytapi
- Summarize the transcript using pipelines.
- Translate the summary into various dialecs using google translator
- Audio output using gTTS
- For UI I've used tkinter
- Jupyter Notebook 100.0%
IMAGES
VIDEO
COMMENTS
Figure 1System Architecture of YouTube Transcript Summarizer According to Figure 1, initially we open a YouTube video and click the button summarize in the chrome extension. This will create a HTTP request to the back-end. Then the request to access the transcripts will be made with YouTube video ID which was taken from the URL.
The YouTube Transcript Summarizer is a web application that creates a succinct summary of a YouTube video's transcript using Natural Language Processing and the Flask framework. NLP techniques like text lemmatization, portion labeling, and named entity identification are used to extract essential information. The application is built with the Flask platform and set up on a web server to allow ...
A YouTube transcript summarizer is a tool that automatically generates a summary of the content in a YouTube video by analyzing the transcript of the video's audio. The proposed work on this project would involve creating a system that can accurately and efficiently extract the main points and key information from the transcript of a YouTube video.
The YouTube Transcript Summarizer is a web application that creates a succinct summary of a YouTube video's transcript using Natural Language Processing and the Flask framework to extract essential information from lengthy movies. The YouTube Transcript Summarizer is a web application that creates a succinct summary of a YouTube video's transcript using Natural Language Processing and the ...
YouTube Transcript Summarizer using Natural Language Processing. April 2022. International Journal of Advanced Research in Science Communication and Technology. DOI: 10.48175/IJARSCT-3034. Authors ...
Search 217,790,151 papers from all fields of science ... DOI: 10.55248/gengpi.5.0324.0811; Corpus ID: 268913283; YouTube Transcript Summarizer @article{Dharmani2024YouTubeTS, title={YouTube Transcript Summarizer}, author={Prof. Aarti Dharmani and Jaya Yadav and Jiya Shukla and Chinmai Rane}, journal={International Journal of Research ...
In [5], the paper "Y ouTube Transcript Summarizer" in which they ha ve used Hugging Face Transformer to perform abstracti ve summarization on the transcripts and have used REST API in the backend.
The summarizer is a Chrome extension that works with YouTube to extract the key points of a video and make them accessible to the user and customizable per user's request, allowing varying extents of summarization. We spend a noticeable amount of our weekly time watching YouTube videos, be it for entertainment, education, or exploring our interests. In most cases, the overall intent is to ...
In the modern world, a video transcript summarizer offers a wide range of applications. It draws attention to the crucial points in the video. YouTube videos are watched in large quantities by people for a variety of reasons, including enjoyment, education, obtaining crucial information, and pursuing personal hobbies. Finding a video with any meaningful information about a subject is ...
This project proposes a video summarizing system based on natural language processing (NLP) and Machine Learning to summarize the YouTube video transcripts without losing the key elements. The quantity of videos available on web platforms is steadily expanding. The content is made available globally, primarily for educational purposes. Additionally, educational content is available on YouTube ...
understand, interpret, and generate natural language text or speech.. Vid eo summarization, which involves generating concise and accurate summaries of longer vid eos, is an important. application ...
International Journal of Research in Engineering and Science (IJRES) ISSN (Online): 2320-9364, ISSN (Print): 2320-9356 www.ijres.org Volume 11 Issue 5 ǁ May 2023 ǁ PP. 189-195 ... YouTube Transcript Summarizer is a tool that automatically generates the
SURVEY PAPER ON YOUTUBE TRANSCRIPT SUMMARIZER Eesha Inamdar*1, Varada Kalaskar*2, Vaidehi Zade*3 *1.2.3Dept. Of Elec. ... YouTube Transcript Summarizer is mainly based on the concept of Machine Learning. It is implemented using ... Exploring the research we figured out that summarization of YouTube videos would better work with NLP modules. ...
International Journal of Research Publication and Reviews, Vol 5, no 3, pp 7035-7039 March 2024 ... International Journal of Research Publication and Reviews Journal homepage: www.ijrpr.com ISSN 2582-7421 YouTube Transcript Summarizer Prof. Aarti Dharmani1, Jaya Yadav2, Jiya Shukla3, Chinmai ... In this paper, we present a comprehensive ...
The results of the project indicate that the TF-IDF algorithm is an effective approach for summarizing the transcript of YouTube videos. The generated summaries accurately capture the key points of the video, making it easier for ... In this research paper, the author introduces a real-time video summarization technique specifically designed ...
This section elaborates the different research paper that were studied for reference explaining the project that we were developing. ... Chrome Extension and Web API for the production of the particular project for YouTube Transcript summarizer for generating the summary for the particular YouTube video. As per this paper transcripts are major ...
The wide-range availability of online video content has made people consume more time to keep up with the amount of information available. In this paper, we present a system for summarizing YouTube videos that use NLP and machine learning techniques to retain the important details without any data loss. There are a few techniques for summarization on YouTube, the first approach is YouTube API ...
These are the steps through which a user can obtain the summary and important keywords: - Open our React app and paste YouTube video's URL on the input tag and click Get summary and keywords. - Request Transcript for the Youtube video's id. - Return the Transcript. - Perform the summarization process.
In this YouTube transcript summarizer web application developed using flask, the transcript of the video is converted into text and thus summarizing that text and in case if there is no transcript available then the model will convert the audio directly into text using speech recognition followed by the summarization. Abstract: Every day, countless videos are being created and shared on ...
Just provide the link to the youtube video on colab and download its summary. For a UI experience I've provided jupyter code also (which doesn't includes summarization code) Algorithm : Extract transcript using ytapi; Summarize the transcript using pipelines. Translate the summary into various dialecs using google translator; Audio output using ...
In this YouTube transcript summarizer web application developed using flask, the transcript of the video is converted into text and thus summarizing that text and in case if there is no transcript ...
International Journal of Creative Research Thoughts Is hereby awarding this certificate to Gousiya Begum In recognition of the publication of the paper entitled YOUTUBE TRANSCRIPT SUMMARIZER Published In IJCRT ( www.ijcrt.org ) & 7.97 Impact Factor by Google Scholar Volume 10 Issue 6 June 2022 , Date of Publication: 14-June-2022
Step 5: Run Streamlit App for YouTube Transcript Summarizer and Q&A Chatbot with Multilingual Text-to-Speech (TTS) features. To run the Streamlit app, in the root directory, the user can enter the ...