Video Transcript Summarizer

In today’s world, a large number of videos are uploaded in everyday, which contains information about something. The major challenge is to find the right video and understand correct content, because there lot available some will contain useless content even though perfect that should be required us. If we not found one it wastes your full effort time extract usefull information. We propose an innovation idea uses NLP processing for text extraction BERT Summarization Text Summarization. This provides main description abstractive summary, enabling users discriminate between relevant irrelevant according their needs. Furthermore, our experiments show joint model can attain good results with informative, concise, readable multi-line summary human evaluation.