Automatic text summarization come under the domains of natural language processing, machine learning and information retrieval. As the abundance of textual information grows so does the need for summarising it. Here we consider a method for single document summarization using natural language processing tools and an extractive approach based on sentence similarity and document context. The technique uses a weighted undirected graph based scoring on paragraphs and a word frequency based scoring system on the entire document to obtain summaries. The proposed method is validated through experiments and the results are promising.
Siji Rani S., Sreejith, K., and Sanker, A., “A hybrid approach for automatic document summarization”, in 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Udupi, India, 2017.