Application of Natural Language Processing: Text Summarization

Computer Science & Engineering

While looking for research papers and literature review papers, there are many tasks to complete, which adds significantly to the workload. Therefore, the primary goal of automatic text summarization is to make it simple for researchers to summarize data that is provided in the form of a PDF document, such as a research paper or a literature review. Abstractive and extractive text summarizing techniques are used to summarize the data in a way that can assist the researcher understand how the paper that has been submitted as input has really been used. Text summarization automatically generates a summary that includes all relevant information from the original text as well as important words. Additionally, the methods or methodology may be presented in audio form utilizing the Google Text To Speech API. The result in this article is presented in table format, which can be more dependable and clear than the summary in paragraph style.

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