<?xml version="1.0" encoding="UTF-8"?>
<article article-type="Research Article">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher">journal-of-statistics-and-management-systems</journal-id>
      <journal-title-group>
        <journal-title> Journal of Statistics and Management Systems</journal-title>
      </journal-title-group>
      <issn publication-format="electronic">2169-0014</issn>
      <issn publication-format="print">0972-0510</issn>
      <publisher>
        <publisher-name>Taru Publications</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.47974/JSMS-1543</article-id>
      <title-group>
        <article-title>Socializing NLG, NLP &amp; NLU through AI : Real-world application and future perspectives</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes">
          <name>
            <surname>Shah</surname>
            <given-names>Keval</given-names>
          </name>
          <aff>LJ Institute of Computer Applications, LJK University, Ahmedabad, Gujarat, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Parikh</surname>
            <given-names>Pooja</given-names>
          </name>
          <aff>LJ Institute of Computer Applications, LJK University, Ahmedabad, Gujarat, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Chokshi</surname>
            <given-names>Lajja</given-names>
          </name>
          <aff>LJ Institute of Computer Applications, LJK University, Ahmedabad, Gujarat, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Doshi</surname>
            <given-names>Jignesh</given-names>
          </name>
          <aff>LJ Institute of Computer Applications, LJK University, Ahmedabad, Gujarat, India</aff>
        </contrib>
      </contrib-group>
      <volume>28</volume>
      <issue>8</issue>
      <fpage>1625</fpage>
      <lpage>1637</lpage>
      <pub-date date-type="pub">
        <day>24</day>
        <month>11</month>
        <year>2025</year>
      </pub-date>
      <abstract>
        <p>The usage of wide-ranging fields of technology has seen the inclusion of AI industries and its development with time which has allowed the industries to grow around the world. This research attempts to explain and broaden the scope of some aspects of Artificial Intelligence and in this specific case AI includes NLP, NLU and NLG. This paper starts from explaining its core components of AI, then continues with the discussion and explanation of AI architecture in the form of a visual presentation. A literature review commences with the sentiment analysis of Chat GPT 2024-2025 reviews. The analysis was demonstrated using a pie chart that represented positive, neutral and negative sentiments. Additionally, a time-distribution graph illustrates the data proves the increased use of AI over time. The paper also tackles the important barriers that stop AI from becoming the ground breaking technology. As part of the introduction, the definitions and basic prerequisites of AI, NLP, NLU and NLG will be reviewed so as to help understand their usages. In the end, the study covers the change in AI and its improvements, stressing on its integration in human involvement. The end of the paper gives suggestions as to how AI can be simplified to reach out to many people, in turn creating awareness and adoption.</p>
      </abstract>
      <kwd-group>
        <kwd>Artificial intelligence</kwd>
        <kwd>Natural language generation</kwd>
        <kwd>Machine learning</kwd>
        <kwd>Deep learning</kwd>
        <kwd>Language model transparency</kwd>
        <kwd>Sentiment analysis</kwd>
        <kwd>Future perspective</kwd>
        <kwd>Natural language processing</kwd>
        <kwd>Natural language understanding</kwd>
        <kwd>Future of AI</kwd>
      </kwd-group>
      <custom-meta-group>
        <custom-meta>
          <meta-name>access</meta-name>
          <meta-value>open</meta-value>
        </custom-meta>
        <custom-meta>
          <meta-name>retracted</meta-name>
          <meta-value>no</meta-value>
        </custom-meta>
      </custom-meta-group>
    </article-meta>
  </front>
</article>
