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(PDF) An Automatic Extractive Text Summarization | Grenze International Journal of Engineering and Technology GIJET and Chandan Yadav - Academia.edu
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So, for such complexity there is need of developing a" /> <title>(PDF) An Automatic Extractive Text Summarization | Grenze International Journal of Engineering and Technology GIJET and Chandan Yadav - Academia.edu</title> <link rel="canonical" href="https://www.academia.edu/119808045/An_Automatic_Extractive_Text_Summarization" /> <script async src="https://www.googletagmanager.com/gtag/js?id=G-5VKX33P2DS"></script> <script> window.dataLayer = window.dataLayer || []; function gtag(){dataLayer.push(arguments);} gtag('js', new Date()); gtag('config', 'G-5VKX33P2DS', { cookie_domain: 'academia.edu', send_page_view: false, }); gtag('event', 'page_view', { 'controller': "single_work", 'action': "show", 'controller_action': 'single_work#show', 'logged_in': 'false', 'edge': 'unknown', // Send nil if there is no A/B test bucket, in case some records get logged // with missing data - that way we can distinguish between the two cases. // ab_test_bucket should be of the form <ab_test_name>:<bucket> 'ab_test_bucket': null, }) </script> <script> var $controller_name = 'single_work'; var $action_name = "show"; var $rails_env = 'production'; var $app_rev = '49879c2402910372f4abc62630a427bbe033d190'; var $domain = 'academia.edu'; var $app_host = "academia.edu"; var $asset_host = "academia-assets.com"; var $start_time = new Date().getTime(); var $recaptcha_key = "6LdxlRMTAAAAADnu_zyLhLg0YF9uACwz78shpjJB"; var $recaptcha_invisible_key = "6Lf3KHUUAAAAACggoMpmGJdQDtiyrjVlvGJ6BbAj"; var $disableClientRecordHit = false; </script> <script> window.require = { config: function() { return function() {} } } </script> <script> window.Aedu = window.Aedu || {}; window.Aedu.hit_data = null; window.Aedu.serverRenderTime = new Date(1732490597000); window.Aedu.timeDifference = new Date().getTime() - 1732490597000; </script> <script type="application/ld+json">{"@context":"https://schema.org","@type":"ScholarlyArticle","abstract":"In this new era of artificial intelligence and automation there is outburst in amount of data. It is challenging for a person to dig into the content and bring the light on essential data. So, for such complexity there is need of developing a perfunctory task of automatic and precise text summary of data. Automatic text summarizer reduces reading time and make selection process easier. In recent years, there has been a little change in the text summarising research trend as well. New trends have evolved that show how to improve text summarization performance and achieve high accuracy. Hence, this project mainly focuses on designing an extractive summarizer of English text/document which generate abbreviated summary with the help of different algorithms.","author":[{"@context":"https://schema.org","@type":"Person","name":"Grenze International Journal of Engineering and Technology GIJET"},{"@context":"https://schema.org","@type":"Person","name":"Chandan Yadav"}],"contributor":[{"@context":"https://schema.org","@type":"Person","name":"Chandan Yadav"}],"dateCreated":"2024-05-22","dateModified":"2024-06-02","datePublished":"2023-01-01","headline":"An Automatic Extractive Text Summarization","inLanguage":"en","keywords":["Computer Science"],"locationCreated":null,"publication":null,"publisher":{"@context":"https://schema.org","@type":"Organization","name":null},"image":null,"thumbnailUrl":null,"url":"https://www.academia.edu/119808045/An_Automatic_Extractive_Text_Summarization","sourceOrganization":[{"@context":"https://schema.org","@type":"EducationalOrganization","name":null}]}</script><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/single_work_page/loswp-352e32ba4e89304dc0b4fa5b3952eef2198174c54cdb79066bc62e91c68a1a91.css" /><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system/body-8d679e925718b5e8e4b18e9a4fab37f7eaa99e43386459376559080ac8f2856a.css" /><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system/button-3cea6e0ad4715ed965c49bfb15dedfc632787b32ff6d8c3a474182b231146ab7.css" /><link rel="stylesheet" media="all" 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window.loswp.showSignupCaptcha = false window.loswp.willEdgeCache = false; window.loswp.work = {"work":{"id":119808045,"created_at":"2024-05-22T04:32:55.183-07:00","from_world_paper_id":null,"updated_at":"2024-06-17T16:32:01.466-07:00","_data":{"abstract":"In this new era of artificial intelligence and automation there is outburst in amount of data. It is challenging for a person to dig into the content and bring the light on essential data. So, for such complexity there is need of developing a perfunctory task of automatic and precise text summary of data. Automatic text summarizer reduces reading time and make selection process easier. In recent years, there has been a little change in the text summarising research trend as well. New trends have evolved that show how to improve text summarization performance and achieve high accuracy. Hence, this project mainly focuses on designing an extractive summarizer of English text/document which generate abbreviated summary with the help of different algorithms.","publication_date":"2023,,"},"document_type":"conference_presentation","pre_hit_view_count_baseline":null,"quality":"low","language":"en","title":"An Automatic Extractive Text Summarization","broadcastable":false,"draft":null,"has_indexable_attachment":true,"indexable":true}}["work"]; window.loswp.workCoauthors = [315700413,32919427]; window.loswp.locale = "en"; window.loswp.countryCode = "SG"; window.loswp.cwvAbTestBucket = ""; window.loswp.designVariant = "ds_vanilla"; window.loswp.fullPageMobileSutdModalVariant = "control"; window.loswp.useOptimizedScribd4genScript = false; window.loswp.appleClientId = 'edu.academia.applesignon';</script><script defer="" src="https://accounts.google.com/gsi/client"></script><div class="ds-loswp-container"><div class="ds-work-card--grid-container"><div class="ds-work-card--container js-loswp-work-card"><div class="ds-work-card--cover"><div class="ds-work-cover--wrapper"><div class="ds-work-cover--container"><button class="ds-work-cover--clickable js-swp-download-button" data-signup-modal="{"location":"swp-splash-paper-cover","attachmentId":115146022,"attachmentType":"pdf"}"><img alt="First page of “An Automatic Extractive Text Summarization”" class="ds-work-cover--cover-thumbnail" src="https://0.academia-photos.com/attachment_thumbnails/115146022/mini_magick20240802-1-icl0i3.png?1722582665" /><img alt="PDF Icon" class="ds-work-cover--file-icon" src="//a.academia-assets.com/assets/single_work_splash/adobe.icon-574afd46eb6b03a77a153a647fb47e30546f9215c0ee6a25df597a779717f9ef.svg" /><div class="ds-work-cover--hover-container"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">download</span><p>Download Free PDF</p></div><div class="ds-work-cover--ribbon-container">Download Free PDF</div><div class="ds-work-cover--ribbon-triangle"></div></button></div></div></div><div class="ds-work-card--work-information"><h1 class="ds-work-card--work-title">An Automatic Extractive Text Summarization</h1><div class="ds-work-card--work-authors ds-work-card--detail"><a class="ds-work-card--author js-wsj-grid-card-author ds2-5-body-md ds2-5-body-link" data-author-id="315700413" href="https://independent.academia.edu/ChandanYadav305"><img alt="Profile image of Chandan Yadav" class="ds-work-card--author-avatar" src="//a.academia-assets.com/images/s65_no_pic.png" />Chandan Yadav</a><a class="ds-work-card--author js-wsj-grid-card-author ds2-5-body-md ds2-5-body-link" data-author-id="32919427" href="https://independent.academia.edu/IdesEditor"><img alt="Profile image of Grenze International Journal of Engineering and Technology GIJET" class="ds-work-card--author-avatar" src="https://0.academia-photos.com/32919427/19089507/19039715/s65_grenze_international_journal_of_engineering_and_technology.gijet.jpg" />Grenze International Journal of Engineering and Technology GIJET</a></div><p class="ds-work-card--detail ds2-5-body-sm">2023</p><p class="ds-work-card--work-abstract ds-work-card--detail ds2-5-body-md">In this new era of artificial intelligence and automation there is outburst in amount of data. It is challenging for a person to dig into the content and bring the light on essential data. So, for such complexity there is need of developing a perfunctory task of automatic and precise text summary of data. Automatic text summarizer reduces reading time and make selection process easier. In recent years, there has been a little change in the text summarising research trend as well. New trends have evolved that show how to improve text summarization performance and achieve high accuracy. Hence, this project mainly focuses on designing an extractive summarizer of English text/document which generate abbreviated summary with the help of different algorithms.</p><div class="ds-work-card--button-container"><button class="ds2-5-button js-swp-download-button" data-signup-modal="{"location":"continue-reading-button--work-card","attachmentId":115146022,"attachmentType":"pdf","workUrl":"https://www.academia.edu/119808045/An_Automatic_Extractive_Text_Summarization"}">See full PDF</button><button class="ds2-5-button ds2-5-button--secondary js-swp-download-button" data-signup-modal="{"location":"download-pdf-button--work-card","attachmentId":115146022,"attachmentType":"pdf","workUrl":"https://www.academia.edu/119808045/An_Automatic_Extractive_Text_Summarization"}"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">download</span>Download PDF</button></div></div></div></div><div data-auto_select="false" data-client_id="331998490334-rsn3chp12mbkiqhl6e7lu2q0mlbu0f1b" data-doc_id="115146022" data-landing_url="https://www.academia.edu/119808045/An_Automatic_Extractive_Text_Summarization" data-login_uri="https://www.academia.edu/registrations/google_one_tap" data-moment_callback="onGoogleOneTapEvent" id="g_id_onload"></div><div class="ds-top-related-works--grid-container"><div class="ds-related-content--container ds-top-related-works--container"><h2 class="ds-related-content--heading">Related papers</h2><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="0" data-entity-id="84008292" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/84008292/Analysis_on_Text_Summarization">Analysis on Text Summarization</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="6079060" href="https://independent.academia.edu/IJRASETPublication">IJRASET Publication</a></div><p class="ds-related-work--metadata ds2-5-body-xs">International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2022</p><p class="ds-related-work--abstract ds2-5-body-sm">As we enter the 21st century, with the advent of mobile phones and access to information stores, we seem to be surrounded by more information, less time, or the ability to process it. The creation of automated summaries was a clever human solution to this complex problem. However, the application of this solution was very complicated. In fact, there are a number of problems that need to be addressed before the promises of an automated text can be fully realized. Basically, it is necessary to understand how people summarize the text and build a system based on that. However, people are different in their thinking and interpretation that it is difficult to make a "gold standard" summary in which product summaries will be tested. In this paper, we will discuss the basic concepts of this article by providing the most appropriate definitions, characterization, types and two different methods of automatic text abstraction: extraction and extraction. Special attention is given to the method of extraction. It consists of selecting sentences and paragraphs that are important in the original text and combining them into a short form. It is mentally simple and easy to use.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Analysis on Text Summarization","attachmentId":89173642,"attachmentType":"pdf","work_url":"https://www.academia.edu/84008292/Analysis_on_Text_Summarization","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/84008292/Analysis_on_Text_Summarization"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="1" data-entity-id="74065528" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/74065528/An_overview_on_extractive_text_summarization">An overview on extractive text summarization</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="96160536" href="https://independent.academia.edu/alimozhdehi">ali mozhdehi</a></div><p class="ds-related-work--metadata ds2-5-body-xs">2017</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"An overview on extractive text summarization","attachmentId":82352239,"attachmentType":"pdf","work_url":"https://www.academia.edu/74065528/An_overview_on_extractive_text_summarization","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/74065528/An_overview_on_extractive_text_summarization"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="2" data-entity-id="34450070" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/34450070/Automatic_Text_Summarization_by_Extracting_Significant_Sentences">Automatic Text Summarization by Extracting Significant Sentences</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="32864527" href="https://jawaharlalanehrunewdelhiindia.academia.edu/AditiSharan">Aditi Sharan</a></div><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Automatic Text Summarization by Extracting Significant Sentences","attachmentId":54323949,"attachmentType":"pdf","work_url":"https://www.academia.edu/34450070/Automatic_Text_Summarization_by_Extracting_Significant_Sentences","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/34450070/Automatic_Text_Summarization_by_Extracting_Significant_Sentences"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="3" data-entity-id="81079456" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/81079456/Automatic_Text_Summarization_A_Critical_Review">Automatic Text Summarization: A Critical Review</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="31493941" href="https://irjet.academia.edu/IRJET">IRJET Journal</a></div><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Automatic Text Summarization: A Critical Review","attachmentId":87248222,"attachmentType":"pdf","work_url":"https://www.academia.edu/81079456/Automatic_Text_Summarization_A_Critical_Review","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/81079456/Automatic_Text_Summarization_A_Critical_Review"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="4" data-entity-id="86193822" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/86193822/An_Extractive_Approach_for_English_Text_Summarization">An Extractive Approach for English Text Summarization</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="120822585" href="https://unipune.academia.edu/YDeshmukh">Yogesh Deshmukh</a></div><p class="ds-related-work--metadata ds2-5-body-xs">2019</p><p class="ds-related-work--abstract ds2-5-body-sm">Natural-language processing (NLP) is a vast area of computer science, artificial intelligence concerned with the interactions between computers and human languages. The “natural language” means a language that is used for daily communication by humans. The development of NLP applications is challenging because computers traditionally require humans to &quot;speak&quot; to them in a programming language that is precise, unambiguous and highly structure. Text summarization is one of the research area of NLP which gives us meaningful and short description of the vast text documents using different NLP tools and techniques. Nowadays, as we are dealing with huge amount of Digital data it is necessary to have automatic Text Summarization Techniques. Text summarization specifically classified into two major categories as Extractive Text Summarization and Abstractive Text Summarization. This paper focuses on different Extractive Text Summarization Techniques used for Indian Languages.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"An Extractive Approach for English Text Summarization","attachmentId":90703138,"attachmentType":"pdf","work_url":"https://www.academia.edu/86193822/An_Extractive_Approach_for_English_Text_Summarization","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/86193822/An_Extractive_Approach_for_English_Text_Summarization"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="5" data-entity-id="87976298" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/87976298/Automatic_Text_Summarization">Automatic Text Summarization</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="31493941" href="https://irjet.academia.edu/IRJET">IRJET Journal</a></div><p class="ds-related-work--metadata ds2-5-body-xs">IRJET, 2022</p><p class="ds-related-work--abstract ds2-5-body-sm">The amount of data on the internet is increasing day by day. So it becomes more difficult to retrieve important points from large documents without reading the whole document. Manually extracting key components from large documents requires a lot of time and energy. Therefore an automatic summarizer is must needed which will produce the summary of a document on its own. In this, a text is given to the computer and the computer using algorithms produces a summary of the text as output. In this paper, we have discussed our attempt to prepare an extraction-based automatic text summarizer in which paragraphs of documents are split into sentences and then these sentences are ranked based on some features of summarization where higher rank sentences are found to be important which is used to generate the summary.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Automatic Text Summarization","attachmentId":92054351,"attachmentType":"pdf","work_url":"https://www.academia.edu/87976298/Automatic_Text_Summarization","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/87976298/Automatic_Text_Summarization"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="6" data-entity-id="89808372" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/89808372/Automatic_Summarization_of_Textual_Document">Automatic Summarization of Textual Document</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="15611632" href="https://independent.academia.edu/ahmadamreen">amreen ahmad</a></div><p class="ds-related-work--metadata ds2-5-body-xs">International Journal of Innovative Technology and Exploring Engineering, 2019</p><p class="ds-related-work--abstract ds2-5-body-sm">In today world, there is a huge amount of information is growing every day on the internet and from many other sources and there is lots of textual information in it. To find out the relevant information from this large amount of data, we need an automatic mechanism that will extract the useful data. Such automatic systems are automatic summarization systems. They categorized into extractive and abstractive summarization system. Extractive summarization systems select the important sentences directly from the large document and put into summary whereas abstractive methods understand semantic meaning of the document by linguistic method to interpret and examine the text. In the purposed method, a statistical approach is used where multiple criterions or features are discussed to calculate the score for every sentence and then SIR (Susceptible Infected Recovered) model is used to compute the dynamic weight for every feature. After dynamic weight computation, weighted TOPSIS (The Techn...</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Automatic Summarization of Textual Document","attachmentId":93546396,"attachmentType":"pdf","work_url":"https://www.academia.edu/89808372/Automatic_Summarization_of_Textual_Document","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/89808372/Automatic_Summarization_of_Textual_Document"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="7" data-entity-id="82447179" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/82447179/A_Comparative_Study_on_Various_Approaches_and_Complexities_of_Text_Summarization">A Comparative Study on Various Approaches and Complexities of Text Summarization</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="116336976" href="https://msrit.academia.edu/PramodaDevi">Pramoda Devi</a></div><p class="ds-related-work--metadata ds2-5-body-xs">2020</p><p class="ds-related-work--abstract ds2-5-body-sm">In today’s digitalized world web is having at most information for users, additional to that newspaper, textbook and magazine are offline resource of information. Web consist of million and billions of resources in the form of documentsin additional to that many documents in different domain are adding to it, thus data is growing exponentially. To understand and assimilate this data many applications of natural language processing came to existence namely, Text mining, Information Retrieval, Machine Translation, Question and answering, text summarization and many more. Research on text summarization started over seven decades and till now effective method or system is not available to generate summary as human. In this paper, surveys the recent literature on different automatic text summarization method and propose idea of abstractive text summarization form orphologically rich language, kannada which is still lacking in field of text summarization.</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"A Comparative Study on Various Approaches and Complexities of Text Summarization","attachmentId":88154772,"attachmentType":"pdf","work_url":"https://www.academia.edu/82447179/A_Comparative_Study_on_Various_Approaches_and_Complexities_of_Text_Summarization","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/82447179/A_Comparative_Study_on_Various_Approaches_and_Complexities_of_Text_Summarization"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="8" data-entity-id="105767738" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/105767738/Towards_Efficient_Model_for_Automatic_Text_Summarization">Towards Efficient Model for Automatic Text Summarization</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="1755449" href="https://wit.academia.edu/YetundeFolajimi">Yetunde Folajimi</a></div><p class="ds-related-work--metadata ds2-5-body-xs">2016</p><p class="ds-related-work--abstract ds2-5-body-sm">Automatic text summarization aims at producing summary from a document or a set of documents. It has become a widely explored area of research as the need for immediate access to relevant and precise information that can effectively represent huge amount of information. Because relevant information is scattered across a given document, every user is faced with the problem of going through a large amount of information to get to the main gist of a text. This calls for the need to be able to view a smaller portion of large documents without necessarily losing the important aspect of the information contained therein. This paper provides an overview of current technologies, techniques and challenges in automatic text summarization. Consequently, we discuss our efforts at providing an efficient model for compact and concise documents summarization using sentence scoring algorithm and a sentence reduction algorithm. Based on comparison with the wellknown Copernic summarizer and the FreeS...</p><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"Towards Efficient Model for Automatic Text Summarization","attachmentId":105144377,"attachmentType":"pdf","work_url":"https://www.academia.edu/105767738/Towards_Efficient_Model_for_Automatic_Text_Summarization","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/105767738/Towards_Efficient_Model_for_Automatic_Text_Summarization"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div><div class="ds-related-work--container js-wsj-grid-card" data-collection-position="9" data-entity-id="86387785" data-sort-order="default"><a class="ds-related-work--title js-wsj-grid-card-title ds2-5-body-md ds2-5-body-link" href="https://www.academia.edu/86387785/EXTRACTIVE_TEXT_SUMMARISATION_TECHNIQUES_A_SURVEY">EXTRACTIVE TEXT SUMMARISATION TECHNIQUES-A SURVEY</a><div class="ds-related-work--metadata"><a class="js-wsj-grid-card-author ds2-5-body-sm ds2-5-body-link" data-author-id="31493941" href="https://irjet.academia.edu/IRJET">IRJET Journal</a></div><div class="ds-related-work--ctas"><button class="ds2-5-text-link ds2-5-text-link--inline js-swp-download-button" data-signup-modal="{"location":"wsj-grid-card-download-pdf-modal","work_title":"EXTRACTIVE TEXT SUMMARISATION TECHNIQUES-A SURVEY","attachmentId":90852754,"attachmentType":"pdf","work_url":"https://www.academia.edu/86387785/EXTRACTIVE_TEXT_SUMMARISATION_TECHNIQUES_A_SURVEY","alternativeTracking":true}"><span class="material-symbols-outlined" style="font-size: 18px" translate="no">download</span><span class="ds2-5-text-link__content">Download free PDF</span></button><a class="ds2-5-text-link ds2-5-text-link--inline js-wsj-grid-card-view-pdf" href="https://www.academia.edu/86387785/EXTRACTIVE_TEXT_SUMMARISATION_TECHNIQUES_A_SURVEY"><span class="ds2-5-text-link__content">View PDF</span><span class="material-symbols-outlined" style="font-size: 18px" translate="no">chevron_right</span></a></div></div></div></div><div class="ds-sticky-ctas--wrapper js-loswp-sticky-ctas hidden"><div class="ds-sticky-ctas--grid-container"><div class="ds-sticky-ctas--container"><button class="ds2-5-button js-swp-download-button" data-signup-modal="{"location":"continue-reading-button--sticky-ctas","attachmentId":115146022,"attachmentType":"pdf","workUrl":null}">See full PDF</button><button class="ds2-5-button ds2-5-button--secondary js-swp-download-button" data-signup-modal="{"location":"download-pdf-button--sticky-ctas","attachmentId":115146022,"attachmentType":"pdf","workUrl":null}"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">download</span>Download PDF</button></div></div></div><div class="ds-below-fold--grid-container"><div class="ds-work--container js-loswp-embedded-document"><div class="attachment_preview" data-attachment="Attachment_115146022" style="display: none"><div class="js-scribd-document-container"><div class="scribd--document-loading js-scribd-document-loader" style="display: block;"><img alt="Loading..." src="//a.academia-assets.com/images/loaders/paper-load.gif" /><p>Loading Preview</p></div></div><div style="text-align: center;"><div class="scribd--no-preview-alert js-preview-unavailable"><p>Sorry, preview is currently unavailable. 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