Video verse

Abstract

Over the last couple of years as Natural Language Processing developed immensely, new state of the art language models have pushed the boundaries in all types of benchmark tasks. In this thesis three different extractive summarization models and three different keyword extraction methods were tested and evaluated based on two different quantitative measures and human evaluation to extract information from text. In this paper different techniques for keyword extraction are presented. Keyword extraction is very useful as it helps us to quickly find the relevant text from a large amount of data.