UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 7
July-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2107644


Registration ID:
313044

Page Number

f104-f111

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Title

Text Analytics an Approach to AI

Abstract

Text analytics supports organizations in managing unstructured information, identifying connections and relationships in information, and in extracting relevant entities to improve knowledge management activities. For the past decade, the amount of text messages sent monthly has increased by more than 7,700%. Younger generations overwhelmingly prefer texting to phone calls. And this is often scratching the surface, as there are many other sorts of textual data: support tickets, insurance application forms, healthcare records, product descriptions, and plenty of others. Extracting meaning out of this text is an incredibly difficult task since texts may have different contexts and formats. Textual data is sometimes remarked as unstructured data because it doesn’t have a transparent storage format or a predefined data model. Sure, you could put a sentence into an Excel cell. But how would that facilitate you to study it? The applications of text analysis are far and wide, from simple automation to advanced interactions between the person inputting the data and also the system they interact with. A fundamental example of that is a chatbot. This paper emphasis on how text analytics is a new approach to Artificial Intelligence.

Key Words

Text Analytics, Artificial Intelligence, Natural Language Processing.

Cite This Article

"Text Analytics an Approach to AI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.f104-f111, July-2021, Available :http://www.jetir.org/papers/JETIR2107644.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Text Analytics an Approach to AI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppf104-f111, July-2021, Available at : http://www.jetir.org/papers/JETIR2107644.pdf

Publication Details

Published Paper ID: JETIR2107644
Registration ID: 313044
Published In: Volume 8 | Issue 7 | Year July-2021
DOI (Digital Object Identifier):
Page No: f104-f111
Country: Amravati, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162


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