Automatic Text Summarization and Entity Extraction from Meeting Minutes

  • Ryan D’silva , Anushka Paradkar

Abstract

An end-to-end solution that would record the meeting and generate a concise summary/minutes. The application would facilitate the generation of minutes using recorded audio or scanned documents through a technique using extractive and abstractive summarization while also picking out important entities from the text using named entity recognition. Identifying different speakers in the audio is also a secondary objective.

Published
2020-05-01
How to Cite
Ryan D’silva , Anushka Paradkar. (2020). Automatic Text Summarization and Entity Extraction from Meeting Minutes. International Journal of Advanced Science and Technology, 29(9s), 207 - 211. Retrieved from https://sersc.org/journals/index.php/IJAST/article/view/13027