Relevant bibliographies by topics / Information retrieval keyword extraction

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Information retrieval keyword extraction'

Author: Grafiati
Published: 5 June 2025
Last updated: 15 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Information retrieval keyword extraction.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Information retrieval keyword extraction"

1

Chien, Lee-Feng. "PAT-tree-based keyword extraction for Chinese information retrieval." ACM SIGIR Forum 31, SI (1997): 50–58. http://dx.doi.org/10.1145/278459.258534.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Li, Ya Min, and Xian Huan Zhang. "The Research and Implementation of Keyword Extraction Technology." Applied Mechanics and Materials 644-650 (September 2014): 2003–8. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.2003.

Full text
Abstract:
Keyword extraction plays an important role in abstract, information retrieval, data mining, text clustering etc. Extracting the keywords from a document can increases the efficiency of retrieval, thus provide great help to efficiently organize the resource. Few writers on the Internet have given the keywords of a document. Artificially extracting the keywords of a document is a great deal of work, so we need a method of extracting the keywords automatically. The paper constructing a verb, function words, stop words etc. small library from the perspective of the Chinese part of speech, realize
APA, Harvard, Vancouver, ISO, and other styles
3

Bahareh, Hashemzadeh, and Abdolrazzagh-Nezhad Majid. "Improving keyword extraction in multilingual texts." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 6 (2020): 5909–16. https://doi.org/10.11591/ijece.v10i6.pp5909-5916.

Full text
Abstract:
The accuracy of keyword extraction is a leading factor in information retrieval systems and marketing. In the real world, text is produced in a variety of languages, and the ability to extract keywords based on information from different languages improves the accuracy of keyword extraction. In this paper, the available information of all languages is applied to improve a traditional keyword extraction algorithm from a multilingual text. The proposed keywork extraction procedure is an unsupervise algorithm and designed based on selecting a word as a keyword of a given text, if in addition to t
APA, Harvard, Vancouver, ISO, and other styles
4

Roshni, S. Tadse* L. H. Patil C. U. Chauhan. "CONTENT BASED INFORMATION RETRIEVAL FOR DIGITAL LIBRARY USING DOCUMENT IMAGE." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 5, no. 7 (2016): 632–38. https://doi.org/10.5281/zenodo.57052.

Full text
Abstract:
In the recent year, the using of mobile devices has perceive an emerging need for improving the user experience of digital library for search, with various applications such as education, location search and product retrieval, There  simply compare the query to the databases images; those are match that images are retrieve from the database, searching and response time of delivery staying a challenging issues in mobile document search previously lots of work has been done on search engine, retrieving  the document from the database without analyzed the image.  In The proposed me
APA, Harvard, Vancouver, ISO, and other styles
5

Hashemzahde, Bahare, and Majid Abdolrazzagh-Nezhad. "Improving keyword extraction in multilingual texts." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 6 (2020): 5909. http://dx.doi.org/10.11591/ijece.v10i6.pp5909-5916.

Full text
Abstract:
The accuracy of keyword extraction is a leading factor in information retrieval systems and marketing. In the real world, text is produced in a variety of languages, and the ability to extract keywords based on information from different languages improves the accuracy of keyword extraction. In this paper, the available information of all languages is applied to improve a traditional keyword extraction algorithm from a multilingual text. The proposed keywork extraction procedure is an unsupervise algorithm and designed based on selecting a word as a keyword of a given text, if in addition to t
APA, Harvard, Vancouver, ISO, and other styles
6

Zhang, Shu Dong, and Jing Wang. "The Search Technology of Query Expansion Based on the Agriculture Information." Advanced Materials Research 712-715 (June 2013): 2550–55. http://dx.doi.org/10.4028/www.scientific.net/amr.712-715.2550.

Full text
Abstract:
Because of the rapid development of Internet and information retrieval technology, and the massive amounts of complex agriculture information resources, how to retrieval the required information conveniently and accurately is an important research point that we have to overcome. In this paper, we get the information database through the initial retrieve of the existing agricultural search sites. By the method of combining the feature extraction with similarity computation based on HowNet to query extended the keyword. With the extended keyword we make a second retrieval and use the result as t
APA, Harvard, Vancouver, ISO, and other styles
7

Ni, Pin, Yuming Li, and Victor Chang. "Research on Text Classification Based on Automatically Extracted Keywords." International Journal of Enterprise Information Systems 16, no. 4 (2020): 1–16. http://dx.doi.org/10.4018/ijeis.2020100101.

Full text
Abstract:
Automatic keywords extraction and classification tasks are important research directions in the domains of NLP (natural language processing), information retrieval, and text mining. As the fine granularity abstracted from text data, keywords are also the most important feature of text data, which has great practical and potential value in document classification, topic modeling, information retrieval, and other aspects. The compact representation of documents can be achieved through keywords, which contains massive significant information. Therefore, it may be quite advantageous to realize tex
APA, Harvard, Vancouver, ISO, and other styles
8

Tao, Liufeng, Kai Ma, Miao Tian, et al. "Developing a Base Domain Ontology from Geoscience Report Collection to Aid in Information Retrieval towards Spatiotemporal and Topic Association." ISPRS International Journal of Geo-Information 13, no. 1 (2023): 14. http://dx.doi.org/10.3390/ijgi13010014.

Full text
Abstract:
The efficient and precise retrieval of desired information from extensive geological databases is a prominent and pivotal focus within the realm of geological information services. Conventional information retrieval methods primarily rely on keyword matching approaches, which often overlook the contextual and semantic aspects of the keywords, consequently impeding the retrieval system’s ability to accurately comprehend user query requirements. To tackle this challenge, this study proposes an ontology-driven information-retrieval framework for geological data that integrates spatiotemporal and
APA, Harvard, Vancouver, ISO, and other styles
9

Pawar, Shaila. "BRIEFLY Video Transcript Summarizer." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–13. http://dx.doi.org/10.55041/ijsrem31136.

Full text
Abstract:
In an age where video content proliferates across digital platforms, the need for efficient video transcript summarization tools has become increasingly crucial. This abstract introduces a novel Video Transcript Summarizer designed to automatically generate concise and informative summaries from lengthy video transcripts. By utilizing techniques such as text summarization, keyword extraction, and sentiment analysis, the summarizer seeks to capture the essence of the video while preserving its context and relevance. The abstract concludes by highlighting the potential applications of such a too
APA, Harvard, Vancouver, ISO, and other styles
10

Yang, Zhen, Haiyang Yu, Jiliang Tang, and Huan Liu. "Toward Keyword Extraction in Constrained Information Retrieval in Vehicle Social Network." IEEE Transactions on Vehicular Technology 68, no. 5 (2019): 4285–94. http://dx.doi.org/10.1109/tvt.2019.2906799.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Information retrieval keyword extraction"

1

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.

Full text
Abstract:
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
APA, Harvard, Vancouver, ISO, and other styles
2

Luo, Yi Computer Science &amp Engineering Faculty of Engineering UNSW. "SPARK: a keyword search system on relational databases." Awarded by:University of New South Wales. Computer Science & Engineering, 2009. http://handle.unsw.edu.au/1959.4/41542.

Full text
Abstract:
With the increasing usage of storing textual data into relational databases, there is a demand for the databases to support keyword queries over textual data. Due to the normalization and the inherent connections among tuples in different tables, traditional IR-style ranking and query evaluation methods do not apply. A number of systems have been proposed to deal with this issue. In this thesis, I will give a detailed demonstration and description to our SPARK project. In the project, we study both the effectiveness and the efficiency issues of answering top-k keyword query on a relational dat
APA, Harvard, Vancouver, ISO, and other styles
3

Rogerson, Brittany E. "An Evaluation of Existing Light Stemming Algorithms for Arabic Keyword Searches." Thesis, School of Information and Library Science, 2008. http://hdl.handle.net/1901/572.

Full text
Abstract:
The field of Information Retrieval recognizes the importance of stemming in improving retrieval effectiveness. This same tool, when applied to searches conducted in the Arabic language, increases the relevancy of documents returned and expands searches to encompass the general meaning of a word instead of the word itself. Since the Arabic language relies mainly on triconsonantal roots for verb forms and derives nouns by adding affixes, words with similar consonants are closely related in meaning. Stemming allows a search term to focus more on the meaning of a term and closely related terms
APA, Harvard, Vancouver, ISO, and other styles
4

Romano, Nicholas C., Dmitri G. Roussinov, Jay F. Nunamaker, and Hsinchun Chen. "Collaborative Information Retrieval Environment: Integration of Information Retrieval with Group Support Systems." HICSS, 1999. http://hdl.handle.net/10150/105688.

Full text
Abstract:
Artificial Intelligence Lab, Department of MIS, University of Arizona<br>Observations of Information Retrieval (IR) system user experiences reveal a strong desire for collaborative search while at the same time suggesting that collaborative capabilities are rarely, and then only in a limited fashion, supported by current searching and visualization tools. Equally interesting is the fact that observations of user experiences with Group Support Systems (GSS) reveal that although access to external information and the ability to search for relevant material is often vital to the progress
APA, Harvard, Vancouver, ISO, and other styles
5

James, David Anthony. "The application of classical information retrieval techniques to spoken documents." Thesis, University of Cambridge, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.361412.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Loper, Edward (Edward Daniel) 1977. "Applying semantic relation extraction to information retrieval." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/86521.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Song, Min Song Il-Yeol. "Robust knowledge extraction over large text collections /." Philadelphia, Pa. : Drexel University, 2005. http://dspace.library.drexel.edu/handle/1860/495.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Kushmerick, Nicholas. "Wrapper induction for information extraction /." Thesis, Connect to this title online; UW restricted, 1997. http://hdl.handle.net/1773/6867.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Brucato, Matteo. "Temporal Information Retrieval." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amslaurea.unibo.it/5690/.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Zitzelberger, Andrew J. "HyKSS: Hybrid Keyword and Semantic Search." BYU ScholarsArchive, 2011. https://scholarsarchive.byu.edu/etd/2832.

Full text
Abstract:
The rapid production of digital information makes the task of locating relevant information increasingly difficult. Keyword search alleviates this difficulty by retrieving documents containing keywords of interest. However, keyword search suffers from a number of issues such ambiguity, synonymy, and the inability to handle semantic constraints. Semantic search helps resolve these issues but is limited by the quality of annotations which are likely to be incomplete or imprecise. Hybrid search, a search technique that combines the merits of both keyword and semantic search, appears to be a promi
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Information retrieval keyword extraction"

1

Lu, Jiaheng. An Introduction to XML Query Processing and Keyword Search. Springer Berlin Heidelberg, 2013.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

Xiao, Hemin. Using a thesaurus for query refinement in full-text retrieval. UW Centre for the New Oxford English Dicitionary [sic] and Text Research, 1994.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

Schafran, Jacobs Paul, ed. Text-based intelligent systems: Current research and practice in information extraction and retrieval. L. Erlbaum Associates, 1992.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

Sabourin, Conrad. Computational linguistics in information science: Information retrieval (full-text or conceptual), automatic indexing, text abstraction, content analysis, information extraction, query languages : bibliography. Infolingua, 1994.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
5

Martin, Golz, Kuh Anthony, Obradovic Dragan, Tanaka Toshihisa, and SpringerLink (Online service), eds. Signal Processing Techniques for Knowledge Extraction and Information Fusion. Springer Science+Business Media, LLC, 2008.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

MacDonald, Randall M. Successful keyword searching: Initiating research on popular topics using electronic databases. Greenwood Press, 2001.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

Paliouras, Georgios. Knowledge-Driven Multimedia Information Extraction and Ontology Evolution: Bridging the Semantic Gap. Springer Berlin Heidelberg, 2011.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

Li, Ying. Video Content Analysis Using Multimodal Information: For Movie Content Extraction, Indexing and Representation. Springer US, 2003.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
9

SCIE-97, (1997 Frascati Italy). Information extraction: A multidisciplinary approach to an emerging information technology : international summer school, SCIE-97, Frascati, Italy, July 14-18, 1997. Springer, 1997.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
10

Li, Ying. Video content analysis using multimodal information: For movie content extraction, indexing, and representation. Kluwer Academic Publishers, 2003.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Information retrieval keyword extraction"

1

Armano, Giuliano, Alessandro Giuliani, Alberto Messina, Maurizio Montagnuolo, and Eloisa Vargiu. "Content-Based Keywords Extraction and Automatic Advertisement Associations to Multimodal News Aggregations." In New Challenges in Distributed Information Filtering and Retrieval. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-31546-6_3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Martínez-Fernández, José Luis, Ana García-Serrano, Paloma Martínez, and Julio Villena. "Automatic Keyword Extraction for News Finder." In Adaptive Multimedia Retrieval. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-25981-7_7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Alonso, Omar, and Marc Spaniol. "Temporal Extraction and Retrieval." In Information Retrieval. ACM, 2024. https://doi.org/10.1145/3674127.3674137.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Wu, Bing, and Pingping Chen. "Research in Keyword Extraction." In Web Information Systems and Mining. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33469-6_69.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Voorhees, Ellen M. "Natural Language Processing and Information Retrieval." In Information Extraction. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48089-7_3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Qiu, Minghui, Yaliang Li, and Jing Jiang. "Query-Oriented Keyphrase Extraction." In Information Retrieval Technology. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35341-3_6.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Kong, Lingbo, Shiwei Tang, Dongqing Yang, Tengjiao Wang, and Jun Gao. "No Tag, a Little Nesting, and Great XML Keyword Search." In Information Retrieval Technology. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11880592_15.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Komamizu, Takahiro, Sayami Okumura, Toshiyuki Amagasa, and Hiroyuki Kitagawa. "FORK: Feedback-Aware ObjectRank-Based Keyword Search over Linked Data." In Information Retrieval Technology. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70145-5_5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Bhatia, Surbhi, Poonam Chaudhary, and Nilanjan Dey. "Aspect Extraction." In Opinion Mining in Information Retrieval. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5043-0_4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Cleophas, Loek, Bruce W. Watson, and Gerard Zwaan. "Automaton-Based Sublinear Keyword Pattern Matching." In String Processing and Information Retrieval. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30213-1_3.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Information retrieval keyword extraction"

1

Jin, Zeying, Zhaoyong Yang, Gongbo Tang, Tingchao Liu, and Endong Xun. "Research on Keyword-Based Element Extraction for Chinese Patent Retrieval." In 2024 International Conference on Asian Language Processing (IALP). IEEE, 2024. http://dx.doi.org/10.1109/ialp63756.2024.10661116.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Basaruddin, Nur Atiqa, Bazilah A. Talip, and Shahrinaz Ismail. "kXpert Profiling System using Unsupervised Keyword Extraction." In 2025 19th International Conference on Ubiquitous Information Management and Communication (IMCOM). IEEE, 2025. https://doi.org/10.1109/imcom64595.2025.10857531.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Liu, Weifeng, Wanyu Li, and Liwen Ma. "A Keyword Extraction Method Integrating Word Semantic Similarity and Topic Model." In 2024 13th International Conference on Control, Automation and Information Sciences (ICCAIS). IEEE, 2024. https://doi.org/10.1109/iccais63750.2024.10814303.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Duan, Yutong, and Yunshui Zheng. "A Multi-keyword Fuzzy Ciphertext Sorting Retrieval Scheme Based on Cloud Servers." In 2024 7th International Conference on Computer Information Science and Application Technology (CISAT). IEEE, 2024. http://dx.doi.org/10.1109/cisat62382.2024.10695419.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Kumbhar, Abhishek, Mayuresh Savargaonkar, Aayush Nalwaya, Chengqi Bian, and Mohamed Abouelenien. "Keyword Extraction Performance Analysis." In 2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR). IEEE, 2019. http://dx.doi.org/10.1109/mipr.2019.00111.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Tang, Xiaoya. "Enhancing keyword-based botanical information retrieval with information extraction." In the 31st annual international ACM SIGIR conference. ACM Press, 2008. http://dx.doi.org/10.1145/1390334.1390505.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Chien, Lee-Feng. "PAT-tree-based keyword extraction for Chinese information retrieval." In the 20th annual international ACM SIGIR conference. ACM Press, 1997. http://dx.doi.org/10.1145/258525.258534.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Ding, Wei, Yongji Liu, and Jianfeng Zhang. "Chinese-keyword Fuzzy Search and Extraction over Encrypted Patent Documents." In 7th International Conference on Knowledge Discovery and Information Retrieval. SCITEPRESS - Science and and Technology Publications, 2015. http://dx.doi.org/10.5220/0005581001680176.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Zhou, Tianchi, Hong Zhao, and Xuechen Zhang. "Keyword Extraction Based on Random Forest and XGBoost - An Example of Fraud Judgment Document." In 2022 European Conference on Natural Language Processing and Information Retrieval (ECNLPIR). IEEE, 2022. http://dx.doi.org/10.1109/ecnlpir57021.2022.00016.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Marinho, Mayara C., Ana Clara B. Borges, Laryssa O. Ferreira, Vanessa P. Costa, J. L. Bordim, and Vinicius R. P. Borges. "Could you tell me the process ID? Structuring Text Documents from the Brazilian Electronic Information System Using a Named Entity Recognition Approach." In Simpósio Brasileiro de Sistemas de Informação. Sociedade Brasileira de Computação, 2025. https://doi.org/10.5753/sbsi.2025.246641.

Full text
Abstract:
Context: In the context of valuing open data, transparency, and efficiency in public services, there is a growing demand for studies to improve government systems. Some public agencies use the Brazilian Electronic Information System (Sistema Eletrônico de Informações - SEI), a procedural management system that centralizes electronic processes and promotes administrative efficiency. Problem: Although SEI has contributed to advancements in public administration, significant challenges remain in information search and retrieval due to the inefficient keyword-based approach currently available. Th
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Information retrieval keyword extraction' for particular source types:
Journal articles Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography