Abstract
The main objective of this paper is to propose a summarizing system based on natural language processing to summarize the data that can be in either video, audio or textual format. Video summarization is to generate a short summary of the content of a video by selecting and presenting the most informative or interesting materials for potential users. With the arrival of high-speed Internet and low-cost storage, the amount of data has been generated at a rocket pace, most of it is in the form of visual or video data. This makes them an important information dispensing tool. Searching and analyzing such a large number of videos is an extremely tedious task Unlike images, where information may be gathered from a single frame, videos need the user to watch the full content, regardless of duration, which presents a challenge to information extraction. Similarly, we save time by extracting crucial information from audio recordings and text. The system focuses on the development of a module using Natural Language Processing with python to summarize the YouTube videos, audio files and textual data.
Keywords
Multimedia, Natural Language Processing, Spacy, Summarization, Tokenization
DOI
View DOI - (https://doi.org/10.36713/epra14768)
How to Cite:
M. Priyanka, K. Sindhuja, V. Madhuvani, K. Prasoona Sowpthika, K. Kranthi Kumar , MULTIMEDIA SUMMARIZATION USING SPACY , Volume 8 , Issue 10, october 2023, EPRA International Journal of Research & Development (IJRD), DOI: https://doi.org/10.36713/epra14768