Graph Based Automatic Text Summarization for Categorization of BBC News Articles

Large number of users use world wide web, news on news channels, weather reports, blogs, online available research works, online social media platforms and government reports, magazines to extract the useful information but due to enormous size of textual content in Petabytes or Zettabytes it is unfeasible to manually summaries the big data and extract the required information. Thus, the use of computerized text summarization is becoming more widespread. Research on text summarization has been conducted extensively in the field of natural language processing (NLP). There are numerous methods for automatic text summarization. Using the BBC News Summary dataset, this research employs a popular technique called graph-based extractive text summarization. It might be difficult to assess a text summary's quality; BLEU measurements and ROGUE variables are employed in this process.