Survey on Content Modeling Using Natural Language Processing

• Published in: International journal for research in applied science and engineering technology Vol. 10; no. 5; pp. 2252 - 2256
• Main Authors: S A, Bhavana, N V, Harshitha Vibhu, N, Neha, B S, Namratha
• Format: Journal Article
• Language: English
• Published: 31.05.2022
• ISSN: 2321-9653; 2321-9653
• DOI: 10.22214/ijraset.2022.42574

Content modelling is the procedure of formation is a compressed version of a text document which makes sure the definition or the meaning of the information isn’t changed from the meaning of original text. Automatic text summarization turns into a beneficial method to findsignificant information accurately in lengthy text in a little amount of time with negligible trouble. Automatic text summarization has taken part in an essential part in assisting users to acquire important key details by adding a large amount of data while also has an advantage of developed technology. Previously, some of the other papers are interconnected in solving the issue to stir up brief outline of the content by using machine learning (ML). Content modelling using natural language processing, it is a prominent requisition exert to bring out suitable details with narrowing huge amount of text. Prevailing observation show that it usescodeword rooted methods to classify text, who doesn’t give the file a real idea. We granted effective entity modelling method joins basic information about the data along with the outline inherited text. Besides, merging the features of the text abstract, shows competent outcome contrast to the synopsis given by controlled replicas of abstractive and extractive summarization.