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<doi_batch_id>3d8d135818d1675848a-38b1</doi_batch_id>
<timestamp>20240229232809400</timestamp>
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<journal_metadata>   <full_title>International Journal of Innovative Technology and Exploring Engineering</full_title>   <abbrev_title>IJITEE</abbrev_title>   <issn media_type='electronic'>22783075</issn>   <doi_data>     <doi>10.35940/ijitee</doi>     <resource>https://www.ijitee.org/</resource>   </doi_data> </journal_metadata> <journal_issue>  <publication_date media_type='online'>     <month>02</month>     <day>28</day>     <year>2024</year>   </publication_date>   <journal_volume>     <volume>13</volume>   </journal_volume>   <issue>3</issue> </journal_issue><!-- ============== --> <journal_article publication_type='full_text'>   <titles>     <title>An NLP Technique on Sentiment Analysis</title>   </titles>   <contributors>      <organization sequence='first' contributor_role='author'>Department Computer Science Engineering, Galgotias University, Greater Noida (Uttar Pradesh), India.</organization>    <person_name sequence='first' contributor_role='author'>      <given_name>Aadesh</given_name>      <surname>Attri</surname>    </person_name>    <person_name sequence='additional' contributor_role='author'>       <given_name>Alok</given_name>       <surname>Rai</surname>     </person_name>     <organization sequence='additional' contributor_role='author'>Department Computer Science Engineering, Galgotias University, Greater Noida (Uttar Pradesh), India.</organization>     <person_name sequence='additional' contributor_role='author'>       <given_name>Yash</given_name>       <surname>Malhotra</surname>     </person_name>     <organization sequence='additional' contributor_role='author'>Department Computer Science Engineering, Galgotias University, Greater Noida (Uttar Pradesh), India.</organization>   </contributors>    <jats:abstract xml:lang='en'>         <jats:p>We have to structure the data which was given to us from the Twitter social media for accurate analysis and make something outof it. We will be finding the sentiment behind the given comment by a user on twitter so that we can sort out the meaning of the text. To get the negative emotions of the text, we will be using different algorithms to find the intention behind it. Fathom this kind of issue, estimation investigation and profound learning methods are two combining methods. We are using Naive Bayes algorithms, SVM (Support Vector Machine) and otherclassification algorithms to get our required output.These are known deep learning /Machine Learning ways to extract the feelings in sentences. At the end of the result we will get the desired output and we will check the accuracy of our output accordingly.</jats:p>     </jats:abstract>  <publication_date media_type='online'>     <month>02</month>     <day>28</day>     <year>2024</year>   </publication_date>   <pages>     <first_page>28</first_page>     <last_page>31</last_page>   </pages>   <crossmark>     <crossmark_version>CC-BY-NC-ND 4.0</crossmark_version>     <crossmark_policy>10.35940/BEIESP.CrossMarkPolicy</crossmark_policy>     <crossmark_domains>       <crossmark_domain>          <domain>www.ijitee.org</domain>       </crossmark_domain>     </crossmark_domains>     <crossmark_domain_exclusive>true</crossmark_domain_exclusive>     <custom_metadata>       <assertion explanation='Journal Name' group_label='Journal Name' group_name='Journal' name='Declaration' order='0'>International Journal of Innovative Technology and Exploring Engineering (IJITEE)</assertion>       <assertion explanation='Funding' group_label='Funding' group_name='Funding' name='Declaration' order='1'>No, I did not receive.</assertion>       <assertion explanation='Conflicts of Interest' group_label='Conflicts of Interest' group_name='Conflicts-of-Interest' name='Declaration' order='2'>No conflicts of interest to the best of our knowledge.</assertion>       <assertion explanation='Ethical Approval and Consent to Participate' group_label='Ethical Approval and Consent to Participate' group_name='Ethical-Approval-and-Consent-to-Participate' name='Declaration' order='3'>No, the article does not require ethical approval and consent to participate with evidence.</assertion>       <assertion explanation='Availability of Data and Material' group_label='Availability of Data and Material' group_name='Availability-of-Data-and-Material' name='Declaration' order='4'>Not relevant.</assertion>       <assertion explanation='Authors Contributions' group_label='Authors Contributions' group_name='Authors-Contributions' name='Declaration' order='5'>All authors have equal participation in this article.</assertion>     </custom_metadata>   </crossmark>   <doi_data>     <doi>10.35940/ijitee.H9679.13030224</doi>     <resource>https://www.ijitee.org/portfolio-item/H96790712823/</resource>   </doi_data> </journal_article>
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