Relevant bibliographies by topics / Keywords extraction / Dissertations / Theses
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Dissertations / Theses on the topic 'Keywords extraction'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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1

Stiff, Philip. "Analysis of Remarks Using Clustering and Keyword Extraction : Clustering Remarks on Electrical Installations and Identifying the Clusters by Extracting Keywords." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233200.

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Nowadays it is common for companies to sit on and gather a lot of data related to their business. The size of this data is often too large to be analyzed by hand and it is therefore becoming more and more common to automate this analysis e.g. by running machine learning methods on this data. In this project we attempt at analyzing an unstructured dataset consisting of remarks, found by inspectors, on electrical installations. This is done by firstly clustering the dataset with the goal of having each cluster representing a specific type of error found in the field and then extracting ten keywo
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Csomai, Andras. "Keywords in the mist: Automated keyword extraction for very large documents and back of the book indexing." Thesis, University of North Texas, 2008. https://digital.library.unt.edu/ark:/67531/metadc6118/.

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This research addresses the problem of automatic keyphrase extraction from large documents and back of the book indexing. The potential benefits of automating this process are far reaching, from improving information retrieval in digital libraries, to saving countless man-hours by helping professional indexers creating back of the book indexes. The dissertation introduces a new methodology to evaluate automated systems, which allows for a detailed, comparative analysis of several techniques for keyphrase extraction. We introduce and evaluate both supervised and unsupervised techniques, design
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Csomai, Andras Mihalcea Rada F. "Keywords in the mist automated keyword extraction for very large documents and back of the book indexing /." [Denton, Tex.] : University of North Texas, 2008. http://digital.library.unt.edu/permalink/meta-dc-6118.

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4

Grosz, Sandra. "Keyword Extraction from Swedish Court Documents." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-272117.

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This thesis addresses the problem of extracting keywords which represent the rulings and and grounds for the rulings in Swedish court documents. The problem of identifying the candidate keywords was divided into two steps; first preprocessing the documents and second extracting keywords using a keyword extraction algorithm on the preprocessed documents. The preprocessing methods used in conjunction with the keywords extraction algorithms were that of using stop words and a stemmer. Then, three different approaches for extracting keywords were used; one statistic approach, one machine learning
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Beleckis, Pavelas. "Raktažodžių atpažinimas lietuvių kalbos tekste." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2011. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20110615_131741-11523.

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Senas posakis teigia – kas valdo informaciją – tas valdo pasaulį. Šis posakis puikiai tinka kalbant apie verslą. Verslo sėkmė priklauso nuo gebėjimo laiku gauti reikiamą informaciją, greitai ją apdoroti ir priimti tinkamus sprendimus tikslų įgyvendinimui. Tačiau su kiekvienais metais vis sparčiau augant informacijos srautams, tai atlikti tampa vis sudėtingiau. Bet šią užduotį gali palengvinti raktažodžių ir raktinių frazių identifikavimo metodų taikymas informacijos analizės metu. Magistro darbo tema – raktažodžių atpažinimas lietuvių kalbos tekste. Pagrindinius darbe paliestus klausimus galim
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Uchida, Yuki, Tomohiro Yoshikawa, Takeshi Furuhashi, Eiji Hirao, and Hiroto Iguchi. "Extraction of important keywords in free text of questionnaire data and visualization of relationship among sentences." IEEE, 2009. http://hdl.handle.net/2237/13897.

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7

Basinger, John A. "Detail Extraction from Electron Backscatter Diffraction Patterns." BYU ScholarsArchive, 2011. https://scholarsarchive.byu.edu/etd/2689.

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Cross-correlation based analysis of electron backscatter diffraction (EBSD) patterns and the use of simulated reference patterns has opened up entirely new avenues of insight into local lattice properties within EBSD scans. The benefits of accessing new levels of orientation resolution and multiple types of previously inaccessible data measures are accompanied with new challenges in characterizing microscope geometry and other error previously ignored in EBSD systems. The foremost of these challenges, when using simulated patterns in high resolution EBSD (HR-EBSD), is the determination of patt
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Kyjovský, Marek. "Extrakce klíčových slov z vědeckých článků." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2010. http://www.nusl.cz/ntk/nusl-237148.

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The main goal of this thesis is to explore basic methods which is using for extraction of important words from articles. After that try to understand character of using keywords from the available set of testing English articles. Based on these findings, try to design and to implement a system which is using this methods. Then created system testing on the real English articles and after that try to analyse results.
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Sari, Pelin. "Preliminary Design And Construction Of A Prototype Canola Seed Oil Extraction Machine." Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/12607357/index.pdf.

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Growing energy demand in the world force people to investigate alternative energy sources. Unlike coal or other fossil fuels, renewable energy sources are promising for the future. Especially, seed oils are effectively used as energy sources such as fuel for diesel engines. The scope of this study is to develop an oil extraction machine specific to canola seed. In this study, seed oil extraction methods have been investigated and various alternatives for the extraction machine have been considered. For continuous operation, oil extraction with a screw press is evaluated as the most appropriate
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Matička, Jiří. "Extrakce klíčových slov z dokumentů." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2012. http://www.nusl.cz/ntk/nusl-236533.

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This thesis pursues an automated extraction of keywords from documents. Its goal is to design and implement an application which will be able to extract an appropriate set of keywords related to the contents of the document. The major requirements for the application are speed and accuracy. That is why the first part of the thesis talks about already developed principles and a detailed classification based on various criteria. The second part is focused on choosing and a thorough functional describing of one of the methods which should have been used for extracting the keywords. The next parts
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imran, imran zaman. "Predicting Bug Severity in Open-Source Software Systems Using Scalable Machine Learning Techniques." Youngstown State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1464347586.

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Erguven, Sait. "Path Extraction Of Low Snr Dim Targets From Grayscale 2-d Image Sequences." Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/12607723/index.pdf.

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In this thesis, an algorithm for visual detecting and tracking of very low SNR targets, i.e. dim targets, is developed. Image processing of single frame in time cannot be used for this aim due to the closeness of intensity spectrums of the background and target. Therefore<br>change detection of super pixels, a group of pixels that has sufficient statistics for likelihood ratio testing, is proposed. Super pixels that are determined as transition points are signed on a binary difference matrix and grouped by 4-Connected Labeling method. Each label is processed to find its vector movement in the
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Refiker, Hurmus. "Preconcentration Of Some Precious Metals Using Debt Impregnated Resin." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606417/index.pdf.

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ABSTRACT PRECONCENTRATION OF SOME PRECIOUS METALS USING DEBT IMPREGNATED RESIN Refiker, H&uuml<br>rm&uuml<br>s M. Sc., Department of Chemistry Supervisor: Prof. Dr. R. Sezer Ayg&uuml<br>n Co-supervisor: Assoc. Prof. Dr. Melek Merdivan August 2005, 107 pages In this thesis, trace amounts of gold and silver have been determined by flame absorption spectrometry (FAAS) after preconcentration by N,N-diethyl-N&#039<br>-benzoylthiourea (DEBT) impregnated resin (Amberlite XAD-16). In the first part of the thesis, sorption
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Ersoy, Mehmet Okan. "Application Of A Natural-resonance Based Feature Extraction Technique To Small-scale Aircraft Modeled By Conducting Wires For Electromagnetic Target Classification." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/3/12605522/index.pdf.

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The problem studied in this thesis, is the classification of the small-scale aircraft targets by using a natural resonance based electromagnetic feature extraction technique. The aircraft targets are modeled by perfectly conducting, thin wire structures. The electromagnetic back-scattered data used in the classification process, are numerically generated for five aircraft models. A contemporary signal processing tool, the Wigner-Ville distribution is employed in this study in addition to using the principal components analysis technique to extract target features mainly from late-time target r
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15

Huang, Junhao. "CE Standard Documents Keyword Extraction and Comparison Between Different MachineLearning Methods." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-236481.

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Conformité Européenne (CE) approval is a complex task for producers in Europe. The producers need to search for necessary standard documents and do the tests by themselves. CE-CHECK is a website which provides document searching service, and the company engineers want to use machine learning methods to analysis the documents and the results can improve the searching system. The first task is to construct an auto keyword extraction system to analysis the standard documents. This paper performed three different machine learning methods: Conditional Random Field (CRF), joint-layer Recurrent Neural
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Joty, Shafiz Rayhan, and University of Lethbridge Faculty of Arts and Science. "Answer extraction for simple and complex questions." Thesis, Lethbridge, Alta. : University of Lethbridge, Faculty of Arts and Science, 2008, 2008. http://hdl.handle.net/10133/666.

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When a user is served with a ranked list of relevant documents by the standard document search engines, his search task is usually not over. He has to go through the entire document contents to find the precise piece of information he was looking for. Question answering, which is the retrieving of answers to natural language questions from a document collection, tries to remove the onus on the end-user by providing direct access to relevant information. This thesis is concerned with open-domain question answering. We have considered both simple and complex questions. Simple questions (i.e. fac
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Lindqvist, Ellinor. "Text Simplification and Keyphrase Extraction for Swedish". Thesis, Uppsala universitet, Institutionen för lingvistik och filologi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-385150.

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Attempts have been made in Sweden to increase readability for texts addressed to the public, and ongoing projects are still being conducted by disability associations, private companies and Swedish authorities. In this thesis project, we explore automatic approaches to increase readability trough text simplification and keyphrase extraction, with the goal of facilitating text comprehension and readability for people with reading difficulties. A combination of handwritten rules and monolingual machine translation was used to simplify the syntactic and lexical content of Swedish texts, and noun ph
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18

Thomas, Simon. "Extraction d'information dans des documents manuscrits non contraints : application au traitement automatique des courriers entrants manuscrits." Rouen, 2012. http://www.theses.fr/2012ROUES048.

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Malgré l’entrée récente de notre monde dans l’ère du tout numérique, de nombreux documents manuscrits continuent à s’échanger, obligeant nos sociétés et administrations à faire face au traitement de ces masses de documents. Le traitement automatique de ces documents nécessite d’accéder à un échantillon inconnu mais pertinent de leur contenu et implique de prendre en compte trois points essentiels : la segmentation du document en entités comparable à l’information recherchée, la reconnaissance de ces entités recherchées et le rejet des entités non pertinentes. Nous nous démarquons des approches
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19

Åklint, Richard, and Muhammad Farhan Khan. "Multidimensional Visualization of News Articles." Thesis, Linköpings universitet, Informationskodning, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-118707.

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Large data sets are difficult to visualize. For a human to find structures and understand the data, good visualization tools are required. In this project a technique will be developed that makes it possible for a user to look at complex data at different scales. This technique is obvious when viewing geographical data where zooming in and out gives a good feeling for the spatial relationships in map data or satellite images. However, for other types of data it is not obvious how much scaling should be done. In this project, an experimental application is developed that visualizes data in mult
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Pfitzner, Darius Mark, and pfit0022@flinders edu au. "An Investigation into User Text Query and Text Descriptor Construction." Flinders University. Computer Science, Engineering and Mathematics, 2009. http://catalogue.flinders.edu.au./local/adt/public/adt-SFU20090805.141402.

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Cognitive limitations such as those described in Miller's (1956) work on channel capacity and Cowen's (2001) on short-term memory are factors in determining user cognitive load and in turn task performance. Inappropriate user cognitive load can reduce user efficiency in goal realization. For instance, if the user's attentional capacity is not appropriately applied to the task, distractor processing can tend to appropriate capacity from it. Conversely, if a task drives users beyond their short-term memory envelope, information loss may be realized in its translation to long-term memory and subs
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Wargärde, Nicko. "Using WordNet Synonyms and Hypernyms in Automatic Topic Detection." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-97745.

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Detecting topics by extracting keywords from written text using TF-IDF has been studied and successfully used in many applications. Adding a semantic layer to TF-IDF-based topic detection using WordNet synonyms and hypernyms has been explored in document clustering by assigning concepts that describe texts or by adding all synonyms and hypernyms that occurring words have to a list of keywords. A new method where TF-IDF scores are calculated and WordNet synset members’ TF-IDFscores are added together to all occurring synonyms and/or hypernyms is explored in this paper. Here, such an approach is
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Desai, Urvashi. "Student Interaction Network Analysis on Canvas LMS." Miami University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=miami1588339724934746.

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Thomas, S. "Extraction d'information dans des documents manuscrits non contraints : application au traitement automatique des courriers entrants manuscrits." Phd thesis, Université de Rouen, 2012. http://tel.archives-ouvertes.fr/tel-00863502.

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Malgré l'entrée récente de notre monde dans l'ère du tout numérique, de nombreux documents manuscrits continuent à s'échanger, obligeant nos sociétés et administrations à faire face au traitement de ces masses de documents. Le traitement automatique de ces documents nécessite d'accéder à un échantillon inconnu mais pertinent de leur contenu et implique de prendre en compte trois points essentiels : la segmentation du document en entités comparable à l'information recherchée, la reconnaissance de ces entités recherchées et le rejet des entités non pertinentes. Nous nous démarquons des approches
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Münch, Felix Victor. "Measuring the networked public: Exploring network science methods for large scale online media studies." Thesis, Queensland University of Technology, 2019. https://eprints.qut.edu.au/125543/1/Felix%20M%C3%BCnch%20Thesis.pdf.

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This thesis explores network science methods and media and communication theory to investigate structures and dynamics of national and global publics. It does so in two studies: one regarding the sharing of hashtags and links on Twitter around acute events, such as the Sydney Siege; the other about communities, publics, and possible echo chambers in the Australian Twitter follower network. It leads to new evidence about structures and dynamics within communities and the public sphere on Twitter, revealing the epistemological implications of network analysis algorithms and outlining a methodolo
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Ekman, Sara. "Automatisk extraktion av nyckelord ur ett kundforum." Thesis, Stockholms universitet, Avdelningen för datorlingvistik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-160686.

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Konversationerna i ett kundforum rör sig över olika ämnen och språket är inkonsekvent. Texterna uppfyller inte de krav som brukar ställas på material inför automatisk nyckelordsextraktion. Uppsatsens undersöker hur nyckelord automatiskt kan extraheras ur ett kundforum trots dessa svårigheter. Fokus i undersökningen ligger på tre aspekter av nyckelordsextraktion. Den första faktorn rör hur den etablerade nyckelordsextraktionsmetoden TF*IDF presterar jämfört med fyra metoder som skapas med hänsyn till materialets ovanliga struktur. Nästa faktor som testas är om olika sätt att räkna ordfrekvens p
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Firoozeh, Nazanin. "Semantic-oriented Recommandation for Content Enrichment." Thesis, Sorbonne Paris Cité, 2018. http://www.theses.fr/2018USPCD033.

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Cette thèse présente une méthode originale permettant d’enrichir le contenu d'un document non structuré par rapport à un domaine d'intérêt à l’aide de techniques de traitement du langage naturel et de recherche d'information. Il s'agit de minimiser l'écart sémantique existant entre le document et le domaine considérés. La méthode s'appuie sur une collection d’enrichissement constituée automatiquement en lien avec le domaine d'intérêt et procède par extraction de mots-clés et détection de thèmes (topics). L’enrichissement est assuré par l'utilisateur à partir des thèmes désambiguïsés qui lui so
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Porfirio, Lucielen. "Um estudo sobre a relevância dos padrões lexicais para a interpretação de textos por meio da extração de informação." Universidade Estadual do Oeste do Parana, 2006. http://tede.unioeste.br:8080/tede/handle/tede/2324.

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Made available in DSpace on 2017-07-10T18:55:26Z (GMT). No. of bitstreams: 1 Lucielen Porfirio.pdf: 522478 bytes, checksum: 120e6f485faab939a4f8ab24bf1f53d1 (MD5) Previous issue date: 2006-02-17<br>Text interpretation is a complex process that depends not only on linguistics aspects, but also cognitive and extra linguistics. In order to interpret a text, any reader must, initially, be able to decode the language and formulate mental representations of the message brought by the text. In order to do so, he will need, necessarily, to make hypothesis and inferences, and activate his previous kn
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Abilhoa, Willyan Daniel. "Um método para extração de palavras-chave de documentos representados em grafos." Universidade Presbiteriana Mackenzie, 2014. http://tede.mackenzie.br/jspui/handle/tede/1437.

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Made available in DSpace on 2016-03-15T19:37:48Z (GMT). No. of bitstreams: 1 Willyan Daniel Abilhoa.pdf: 1956528 bytes, checksum: 5d317e6fd19aebfc36180735bcf6c674 (MD5) Previous issue date: 2014-02-05<br>Fundação de Amparo a Pesquisa do Estado de São Paulo<br>Twitter is a microblog service that generates a huge amount of textual content daily. All this content needs to be explored by means of techniques, such as text mining, natural language processing and information retrieval. In this context, the automatic keyword extraction is a task of great usefulness that can be applied to indexing, s
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Hoddinott, Simon Matthew. "Web mining for translators: automatic construction of comparable, genre-driven corpora." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/10775/.

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The aim of this paper is to evaluate the efficacy of the application WebBootCaT to create specialised corpora automatically, investigating the translation of articles of association from Italian into English. The first section reflects on the relevant literature and proposes the utility of corpora for translators. The second section discusses the methodology employed, and the third section analyses the results obtained and comments on how language professionals could possibly exploit the application to its full. The fourth section provides a few concrete usage examples of the thus built corpor
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Šimonek, Jan. "Průzkum vlastnictví kódu ve velké organizaci." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2015. http://www.nusl.cz/ntk/nusl-234961.

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This master's thesis is about code ownership in software projects and creating a tool that would improve cooperation by identifying code owners. The theoretical foundation for code ownership starts from Extreme Programming, explaining models of code ownership and the impact of code ownership on cooperation among teams and team members. The concept is demonstrated on a concrete software firm, where a potential for improvement is identified. The potential is exploited by a software tool, which is designed in the this thesis. The tool is capable of identifying code owners and experts for specific
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Hsu, Cheng-En, and 許承恩. "The Application of Keywords Extraction." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/uw62va.

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碩士<br>國立政治大學<br>統計學系<br>107<br>Text Mining has become one of the popular research areas after the IBM proposed the term Big Data in 2010. Since then many texts are being digitalized and more scholars are devoted in developing quantitative tools for giving texts semantic meaning without the help of human experts. This greatly increases the efficiency of reading a hugh amount of texts provided that the texts are properly structurized. The structurization of texts includes quite a few steps, such as keyword extraction and sentiment analysis. The keyword extraction is critical and the keywords can
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Monteiro, Cláudio Luís de Sousa. "Dendro Keywords: Supporting data description through information extraction." Master's thesis, 2018. https://repositorio-aberto.up.pt/handle/10216/114140.

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Monteiro, Cláudio Luís de Sousa. "Dendro Keywords: Supporting data description through information extraction." Dissertação, 2018. https://repositorio-aberto.up.pt/handle/10216/114140.

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Wu, Min-Cong, and 吳旻璁. "Combining Topic Information for Keywords Extraction and Concept Maps Construction." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/42242771926679207098.

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碩士<br>國立雲林科技大學<br>資訊管理系<br>103<br>English often plays an important role in information transmission. For this reason, how to extract useful message from English articles is very important. Keyphrases often represent the summary of an article. In recent year, how to mine keyphrases and effective presentation is an important research topic. However, most of the approaches ignored the relationship among the article, the topic and keyphrases. As a result, in this study we integrate the Topic PageRank(TPR) technique to the process of keyphrase extraction of an article. The idea behind TPR is if the
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Kuan-MingChou and 周冠銘. "Using automatic keywords extraction and text clustering methods for medical information retrieval improvement." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/80362319360586009723.

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碩士<br>國立成功大學<br>醫學資訊研究所<br>101<br>Because there are huge data on the web, it will get many duplicate and near-duplicate search results when we search on the web. The motivation of this thesis is that reduce the time of filtering the huge duplicate and near-duplicate information when user search. In this thesis, we propose a novel clustering method to solve near-duplicate problem. Our method transforms each document to a feature vector, where the weights are terms frequency of each corresponding words. For reducing the dimension of these feature vectors, we used principle component analysis to
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Ventura, João Miguel Jones. "Automatic extraction of concepts from texts and applications." Doctoral thesis, 2014. http://hdl.handle.net/10362/14268.

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The extraction of relevant terms from texts is an extensively researched task in Text- Mining. Relevant terms have been applied in areas such as Information Retrieval or document clustering and classification. However, relevance has a rather fuzzy nature since the classification of some terms as relevant or not relevant is not consensual. For instance, while words such as "president" and "republic" are generally considered relevant by human evaluators, and words like "the" and "or" are not, terms such as "read" and "finish" gather no consensus about their semantic and informativeness. Concep
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Paris, Sylvain. "Extraction d'informations tridimensionnelles à partir d'images -- Application à l'informatique graphique." Phd thesis, 2004. http://tel.archives-ouvertes.fr/tel-00528862.

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Le sujet de cette thèse porte sur la création des données utilisées en informatique graphique pour synthétiser des images. On ne demande pas à l'utilisateur de modéliser l'objet souhaité mais plutôt d'en fournir une ou plusieurs photographies. Ces images sont automatiquement analysées pour en extraire l'information recherchée. On attend de cette approche des données plus fidèles à l'original et un temps de création plus court pour l'utilisateur. Nos travaux sont centrés sur trois cas d'études qui mènent à des applications utiles. Tout d'abord, nous reconstruisons la surface d'un objet matte à
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Farinha, André Filipe Neves. "Extracting keywords from tweets." Master's thesis, 2018. http://hdl.handle.net/10400.26/28594.

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Nos últimos anos, uma enorme quantidade de informações foi disponibilizada na Internet. As redes sociais estão entre as que mais contribuem para esse aumento no volume de dados. O Twitter, em particular, abriu o caminho, enquanto plataforma social, para que pessoas e organizações possam interagir entre si, gerando grandes volumes de dados a partir dos quais é possível extrair informação útil. Uma tal quantidade de dados, permitirá por exemplo, revelar-se importante se e quando, vários indivíduos relatarem sintomas de doença ao mesmo tempo e no mesmo lugar. Processar automaticamente um tal volu
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Chen, Po-Chi, and 陳柏圻. "Keyword extraction from short articles." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/71820765738235009808.

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碩士<br>國立清華大學<br>資訊工程學系<br>98<br>關鍵字可以視為文章內容的濃縮,利用少許的關鍵字來表示整篇文章,可以幫助使 用者快速的瞭解整篇文章的內容。而自動化關鍵字擷取系統是在資訊檢索以及自然 語言處理中廣泛被使用的一項技術,例如文件分類、建立索引、文件分群以及自動 整理摘要等。 現在有越來越多的短文章出現在網路論壇、社交網站和部落格上,這些都是很 豐富的網路資源需要有效的被存取以及利用。但是傳統的方法在處理短文章時有些 限制,因為文章短,所以傳統以文字出現頻率為基礎的關鍵字擷取系統在短文章的 表現較不準確;因此我們需要一個新的關鍵字擷取系統來客服這個困難。 近年來,以圖型為基礎的排名演算法已經成功的利用在網頁排名的領域,例 如Google PageRank 和HITS 等。而也有人將這種演算法應用到關鍵字擷取系統中, 也達到了不錯的效果,例如TextRank、CollabRank 等。但是這種以圖型為基礎的關 鍵字擷取系統會有一個共通的缺點,那就是一些不重要但是常出現的字在這個系統 中也會拿到很高的分數。在之前的研究學者中也有觀察到這個現象,他們的處理方 法是直接把這些字拿掉,例如直接拿掉停用字等;但是直接拿掉的結果就破壞了文 章原本的結構,這樣會讓注重結構的圖型基礎排名演算法較不準確。 所以這篇論文提出自動化關鍵字擷取系統RankUp,這個系統是建立在圖型基礎
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Geadas, Pedro. "Ensemble Learning for Keyword Extraction." Master's thesis, 2013. http://hdl.handle.net/10316/35576.

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Dissertação de Mestrado em Engenharia Informática apresentada à Faculdade de Ciências e Tecnologia da Universidade de Coimbra<br>Nowadays, the most relevant events occurring in the city are advertised on-line, generally through small textual descriptions. The exponential growth of the Web often hampers the task of finding relevant information, turning the existence of good information extraction and summarization methods in a necessity. As such, the main goal of this dissertation is to develop an ensemble learning application for automatically extracting keywords from those event textual
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Pradhan, Anima. "Helmholtz Principle-Based Keyword Extraction." Thesis, 2013. http://ethesis.nitrkl.ac.in/5048/1/211CS1048_(1).pdf.

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In today’s world of evolving technology, everybody wishes to accomplish tasks in least time. As information available online is perpetuating every day, it becomes very difficult to summarize any more than 100 documents in acceptable time. Thus, ”text summarization” is a challenging problem in the area of Natural Language Processing (NLP) especially in the context of global languages. In this thesis, we survey taxonomy of text summarization from different aspects. It briefly explains different approaches to summarization and the evaluation parameters. Also presented are a thorough details and f
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詹權恩. "A Document Keyword Extraction Model Using the Keyword Correlation Thesaurus." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/583t5x.

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碩士<br>國立清華大學<br>工業工程與工程管理學系<br>92<br>Abstract Recently, due to the large amount of electronic information over the Internet, to efficiently retrieve and filter information that meets the user requirements has become an essential issue for enterprise document/knowledge management. In addition, in order to assist users quickly acquire the critical information in the documents, keyword extraction of each document is necessary. Traditionally, document keywords are determined manually and much expertise and time are required. In this research, algorithms for automatic keyword correlation analys
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Su, Ting-Han, and 蘇廷翰. "Keyword extraction from Chinese news articles." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/wk3ga5.

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碩士<br>國立臺北科技大學<br>資訊工程系研究所<br>103<br>The aim of keyword extraction is to find a small set of terms that can represent the document. In Chinese News articles, usually describe events with new terms about people, places, locations, and things. Using Chinese Segmenter system’s fixed dictionary is insufficient for new terms from news articles. That could cause the named entities hard to be recognized. In this paper, we proposed a method to extract keywords from Chinese news articles by using topic-specific articles. In experiments, we compared our method with using default dictionary. The F_1-meas
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SEPTIARI, RESA, and RESA SEPTIARI. "Keyword Extraction Based on Text Hierarchical Structures." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/40398443059460877685.

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碩士<br>國立臺灣科技大學<br>資訊工程系<br>104<br>Keyword extraction is one of the most popular topics in text mining and information retrieval for the purpose of summarization, recommendation, and categorization on texts. Given a text, the goal of keyword extraction is to know which word is important and informative as representatives to describe the text. Keyword extraction has been improved rapidly in recent years as there are a rich set of methods proposed for the task. We propose a novel keyword extraction method of keyword extraction based on machine learning techniques and the consideration of the hier
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Wu, Pei-Hao, and 吳培豪. "Keyword Extraction and Structuralization for Medical Report." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/q4zqu6.

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碩士<br>國立臺灣師範大學<br>資訊工程學系<br>105<br>In recent years, the patients usually accept more and more accurate and detailed examinations because of the rapid advances in medical technology. Many of the examination reports are not represented in numerical data, but are text documents written by the medical examiners according to the observations obtained from the instruments and biochemical tests. If the above-mentioned unstructured data can be converted into a examination report in a structured form, it will help the doctors to understand the patient's status in different examination items more effici
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黃佳新. "Factor Analysis for Keyword Extraction and Document Classification." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/mta2z5.

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碩士<br>國立清華大學<br>工業工程與工程管理學系<br>92<br>ABSTRACT Due to popularity of the information technology, the electronic documents within enterprises and organizations accumulate quickly and drastically. To automatically classify documents is the typical issue for enterprise knowledge management and services. Currently, most of the automatic document classification methodologies utilize the document keywords for determination of document category. Furthermore, most previous research about keyword extraction focuses mainly on improvement of the extraction methodology and the characteristics of documen
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SUN, HAO-SYUAN, and 孫晧烜. "Keyword Extraction from Law Database Using Deep Learning." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/v3j5b2.

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碩士<br>國立中正大學<br>資訊工程研究所<br>105<br>In recent years, international exchanges and trade cooperation become frequent. Legal practice among nations increases as well. To ensure consistency of legal document, constructing a standard translation dictionary as a translation reference is necessary. However, there are plenty of laws and regulations which cover a wide range of area. If we manually mark all legal keywords, it will be highly inefficient. In this thesis, we propose an automatic Chinese legal keyword extraction algorithm based on deep learning technology, specifically, Back Propagation Neura
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Hsu, Yih-Chieh, and 徐亦杰. "Enhancing Neural Keyword Extraction with Local Context Information." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/qj89qz.

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碩士<br>國立臺灣大學<br>資訊網路與多媒體研究所<br>105<br>Keywords can provide condensed information about a document and hence automatic keyword extraction has attracted the interest of researchers in recent decades. Traditional methods largely rely on handcrafted features to optimize the performance, which is usually a time-consuming procedure. A recent work proposes a novel deep recurrent neural network (RNN) model to extract keyphrases without manual feature engineering. However, there are three drawbacks of the previous work. To begin with, the fact that importance of a word may be influenced by other words
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Lee, Po-Hui, and 李柏輝. "Hybrid Method of Keyword Extraction for English Patents." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/75925528236434131876.

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碩士<br>華梵大學<br>資訊管理學系碩士班<br>100<br>Patent is not only the technical indicators of the company or individual, but also a very important asset. In the development of new technologies or products, we need to consider the basis of its own patents or technology, and whether the similar technology in patent documents had been registered. In addition to the management of own patents, the searching for related domestic and foreign patent documents is another important task for development of products. 　　In this study, the hybrid technology of keyword extraction is adopted for patent documents in Englis
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Ko-Li, Kan, and 甘可立. "Effectiveness Issues in Keyword Extraction and Automatic Text Categorization." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/06898275923006333937.

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碩士<br>中華大學<br>資訊工程學系碩士班<br>94<br>Presently, automatic text categorization is primarily based on extractingkeywords from documents. Extracting keywords is also a basic and coretechnology for document analysis. Nowadays, keyword extracting whichmostly depends on the judgement of professional researchers is a waste oftime and manpower. Therefore, it is important to employ automatic keywordextraction methods in text categorization.. In this thesis, we propose four keyword extraction methods to improve the efficiency and accuracy of automatic text categorization: (1)Content-reduction text categoriz
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