An overview of natural language processing techniques for information analysis

Al-Sarori, Mokhtar Hussein, Pund, Sachin S., Charitha, Bondili Bhavya, Kaushal, Ashish Kumar, Lal, Bechoo and Chaturvedi, Sudhir Kumar (2024) An overview of natural language processing techniques for information analysis. In: 2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON), 29-31 December 2023, Bangalore, India.

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Natural Language Processing (NLP) is an increasingly essential and rapidly advancing discipline of laptop technological know-how and artificial intelligence, centered on the development of algorithms and methods for analyzing big our bodies of natural language textual content. Records analysis entails extracting applicable records from natural language files, knowing how to interpret the textual content, and the way to practice the evaluation to diverse obligations. NLP strategies for data evaluation can consist of entity recognition, part-of-speech tagging, sentiment analysis, textual content type, summarization, query processing, and topic detection. Entity reputation is the method of tagging and assigning semantic labels to words or phrases in a text, frequently with the purpose of categorizing them by kind or class. The give up result is a set of entities that could then be in addition analyzed with other NLP strategies. Component-ofspeech tagging is the process of labeling words in a text primarily based on their part of speech. This can help become aware of vital phrases in a frame of text, helping in semantic or syntactic analyses

Item Type: Conference or Workshop Item (Paper)
Keywords: Sentiment analysis | Reviews | Semantics | Tagging | Syntactics | Natural language processing | Speech processing
Subjects: Physical, Life and Health Sciences > Computer Science
JGU School/Centre: Jindal Global Business School
Depositing User: Subhajit Bhattacharjee
Date Deposited: 05 Mar 2024 14:14
Last Modified: 07 Mar 2024 13:55
Official URL:


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