Review Of Text Summarization Techniques using NLP For Transcripts And Articles

Computer engineering

A vast number of video recordings and articles are generated and distributed on the internet every day. It has become quite difficult to devote time to watching films or reading articles that may last longer than expected, and If we are unable to get relevant information from them, our efforts may be futile. Summarizing such films' transcripts or summarising articles saves time and effort by allowing us to rapidly identify key patterns in the video. The research is entirely based on NLP, a cutting-edge artificial intelligence approach that aids in language recognition, summarization, and other tasks. This research focuses on the algorithms that aid in the summarization of the generated texts and transcripts. This paper shows how to summarise texts using various algorithms, as well as how to convert audio to text for films without transcripts and summarising it to offer a content summary utilising extractive and abstractive text summarization methodologies. Natural Language Processing (NLP) is an artificial intelligence area concerned with analysing, comprehending, and creating natural human languages so that computers can manage written and spoken human language without using computer-driven language.

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