A Review on Text Summarization to Develop a Live Sports Match Journalism System Using NLP

Abstract

The review paper details the process of converting live speech commentary into text and subsequently generating a text summary from this transcription. Natural Language Processing (NLP) serves as the most suitable technique for this task. Sporting events attract widespread global attention, with many individuals preferring news articles over live experiences. Consequently, there's a pressing need for rapid news production following the conclusion of any sporting event. Due to constraints such as time and budget, comprehensive reporting by commentators or journalists becomes impractical. Therefore, this project holds significant promise and effectiveness. The primary aim is to automate the creation of text summaries from live sports commentary. To achieve this, a system has been devised to generate summaries from live game commentary, an area that has seen minimal focus in current research. An audio recognition system will process provided audio data, transforming it into a lengthy text format. Subsequently, a text-summarising technique will condense this transformed text into a summary.