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Smart Patient Records using NLP and Blockchain | IEEE Conference Publication | IEEE Xplore

Smart Patient Records using NLP and Blockchain


Abstract:

Text summarizing is the process of condensing text such that extraneous information is deleted and only the most important information is extracted and presented in the m...Show More

Abstract:

Text summarizing is the process of condensing text such that extraneous information is deleted and only the most important information is extracted and presented in the most understandable manner. Due to the exponential growth of social media data, it is now essential to assess this text in order to extract statistics, particulars and utilize it to the best benefit of several requisitions, applications and implementations. In recent years, the natural language processing and text mining communities have been more interested in the problem of automated summarizing, chiefly on the topic of opinion summarization. In society, views are essential for making decisions. A person or corporation depends on the advice and opinions of others while making choices. In this study, we provide a graph-based technique for creating summaries of repeated points of view and integrating the claims using sentiment analysis. The resultant summaries are carefully crafted to convey the text’s core and are based on abstraction.
Date of Conference: 23-25 January 2023
Date Added to IEEE Xplore: 14 March 2023
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ISSN Information:

Conference Location: Tirunelveli, India
Department Of Networking And Communications, Srm Institute Of Science And Technology, kattankulathur, Chennai, Tamilnadu
Department Of Networking And Communications, Srm Institute Of Science And Technology, kattankulathur, Chennai, Tamilnadu
Department Of Networking And Communications, Srm Institute Of Science And Technology, kattankulathur, Chennai, Tamilnadu

I. Introduction

There is a great deal of web content that regularly exhibits the same viewpoint. Thus, it is crucial to summarize unnecessary material. Extractive summary would not be useful when reading summaries of several texts or language that is considerably repetitious since they would be excessively wordy and biased. In addition, as sentences are often longer, non-essential sentence components are frequently added. Since relevant information is distributed across the manuscript, it cannot be included in extractive summaries. The solution to the problem of “dangling” anaphora, which occurs when pronoun-containing sentences are taken out of context and lose their meaning. Although much research has been conducted in the area of extraction based summarization, It is difficult in the terms of abstraction-based summarization for the facile basis that, while computer intelligence can statistically identify the most important sentence in a stanza, it is difficult for them to combine the most principal sentences and produce a concise and coherent summary. Whether it’s the summarization of textual material (such as books, manuscripts etc.) or content consisting of multimedia (such as video transcripts, etc.), the need for high-quality summaries is rising

Department Of Networking And Communications, Srm Institute Of Science And Technology, kattankulathur, Chennai, Tamilnadu
Department Of Networking And Communications, Srm Institute Of Science And Technology, kattankulathur, Chennai, Tamilnadu
Department Of Networking And Communications, Srm Institute Of Science And Technology, kattankulathur, Chennai, Tamilnadu

References

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