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Textual Summarization of Text and Multimedia Data using LDA Algorithm
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 175 - Number 14 |
| Year of Publication: 2020 |
| Authors: Prajakta Bharat Deshmukh, S. S. Shiravale |
10.5120/ijca2020920639
|
Prajakta Bharat Deshmukh, S. S. Shiravale . Textual Summarization of Text and Multimedia Data using LDA Algorithm. International Journal of Computer Applications. 175, 14 ( Aug 2020), 42-48. DOI=10.5120/ijca2020920639
Abstract
To generate a summary lots of efforts have been taken in past years for the events such as Meetings, Sports-clips, Pictorial Storylines, Movies, Social media contents. Natural Language Processing (NLP) is a basic Automatic text summarization application which goals to summarize a given text into a compressed form. Over the year the fast growth in multimedia data across the internet, demands summarization from the asynchronous data that is the combination of image, text, video, and audio. We have describe an multi-modal summarization framework that uses the techniques of OCR, NLP and speech processing examine the information contained in the statics and to enhance the aspect of multimedia summarization.
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