Relevant bibliographies by topics / Latent indexing

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

Academic literature on the topic 'Latent indexing'

Author: Grafiati
Published: 3 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Latent indexing"

1

Wang, Quan, Jun Xu, Hang Li, and Nick Craswell. "Regularized Latent Semantic Indexing." ACM Transactions on Information Systems 31, no. 1 (2013): 1–44. http://dx.doi.org/10.1145/2414782.2414787.

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Hofmann, Thomas. "Probabilistic Latent Semantic Indexing." ACM SIGIR Forum 51, no. 2 (2017): 211–18. http://dx.doi.org/10.1145/3130348.3130370.

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Deerwester, Scott, Susan T. Dumais, George W. Furnas, Thomas K. Landauer, and Richard Harshman. "Indexing by latent semantic analysis." Journal of the American Society for Information Science 41, no. 6 (1990): 391–407. http://dx.doi.org/10.1002/(sici)1097-4571(199009)41:6<391::aid-asi1>3.0.co;2-9.

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Thorleuchter, Dirk, and Dirk Van den Poel. "Technology classification with latent semantic indexing." Expert Systems with Applications 40, no. 5 (2013): 1786–95. http://dx.doi.org/10.1016/j.eswa.2012.09.023.

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Papadimitriou, Christos H., Prabhakar Raghavan, Hisao Tamaki, and Santosh Vempala. "Latent Semantic Indexing: A Probabilistic Analysis." Journal of Computer and System Sciences 61, no. 2 (2000): 217–35. http://dx.doi.org/10.1006/jcss.2000.1711.

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Ayadi, Rami, Mohsen Maraoui, and Mounir Zrigui. "Latent Topic Model for Indexing Arabic Documents." International Journal of Information Retrieval Research 4, no. 1 (2014): 29–45. http://dx.doi.org/10.4018/ijirr.2014010102.

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In this paper, the authors present latent topic model to index and represent the Arabic text documents reflecting more semantics. Text representation in a language with high inflectional morphology such as Arabic is not a trivial task and requires some special treatments. The authors describe our approach for analyzing and preprocessing Arabic text then we describe the stemming process. Finally, the latent model (LDA) is adapted to extract Arabic latent topics, the authors extracted significant topics of all texts, each theme is described by a particular distribution of descriptors then each t
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Ayadi, Rami, Mohsen Maraoui, and Mounir Zrigui. "Latent Topic Model for Indexing Arabic Documents." International Journal of Information Retrieval Research 4, no. 2 (2014): 57–72. http://dx.doi.org/10.4018/ijirr.2014040104.

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In this paper, the authors present latent topic model to index and represent the Arabic text documents reflecting more semantics. Text representation in a language with high inflectional morphology such as Arabic is not a trivial task and requires some special treatments. The authors describe their approach for analyzing and preprocessing Arabic text then they describe the stemming process. Finally, the latent model (LDA) is adapted to extract Arabic latent topics, the authors extracted significant topics of all texts, each theme is described by a particular distribution of descriptors then ea
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SivaKumar, A. P., P. Premchand, and A. Govardhan. "Indian Languages IR using Latent Semantic Indexing." International Journal of Computer Science and Information Technology 3, no. 4 (2011): 245–53. http://dx.doi.org/10.5121/ijcsit.2011.3419.

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Rahim, Robbi, Nuning Kurniasih, Muhammad Dedi Irawan, et al. "Latent Semantic Indexing for Indonesian Text Similarity." International Journal of Engineering & Technology 7, no. 2.3 (2018): 73. http://dx.doi.org/10.14419/ijet.v7i2.3.12619.

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Document is a written letter that can be used as evidence of information. Plagiarism is a deliberate or unintentional act of obtaining or attempting to obtain credit or value for a scientific work, citing some or all of the scientific work of another party acknowledged as a scientific work without stating the source properly and adequately. Latent Semantic Indexing method serves to find text that has the same text against from a document. The algorithm used is TF/IDF Algorithm that is the result of multiplication of TF value with IDF for a term in document while Vector Space Model (VSM) is met
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Vecharynski, Eugene, and Yousef Saad. "Fast Updating Algorithms for Latent Semantic Indexing." SIAM Journal on Matrix Analysis and Applications 35, no. 3 (2014): 1105–31. http://dx.doi.org/10.1137/130940414.

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Dissertations / Theses on the topic "Latent indexing"

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La, Fleur Magnus, and Fredrik Renström. "Conceptual Indexing using Latent Semantic Indexing : A Case Study." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-263029.

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Information Retrieval is concerned with locating information (usually text) that is relevant to a user's information need. Retrieval systems based on word matching suffer from the vocabulary mismatch problem, which is a common phenomenon in the usage of natural languages. This difficulty is especially severe in large, full-text databases since such databases contain many different expressions of the same concept. One method aimed to reduce the negative effects of the vocabulary mismatch problem is for the retrieval system to exploit statistical relations. This report examines the utility of co
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Suwannajan, Pakinee. "Evaluating the performance of latent semantic indexing." Diss., Connect to online resource, 2005. http://wwwlib.umi.com/dissertations/fullcit/3178359.

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Araújo, Hugo Rafael Teixeira Soares. "Exploring biomedical literature using latent semantic indexing." Master's thesis, Universidade de Aveiro, 2012. http://hdl.handle.net/10773/11298.

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Mestrado em Engenharia de Computadores e Telemática<br>O rápido crescimento de dados disponível na Internet e o facto de se encontrar maioritariamente na forma de texto não estruturado, tem criado sucessivos desafios na recuperação e indexação desta informação. Para além da Internet, também inúmeras bases de dados documentais, de áreas específicas do conhecimento, são confrontadas com este problema. Com a quantidade de informação a crescer tão rapidamente, os métodos tradicionais para indexar e recuperar informação, tornam-se insuficientes face a requisitos cada vez mais exigentes por parte do
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Geiß, Johanna. "Latent Semantic Indexing and Information Retrieval a quest with BosSE /." [S.l. : s.n.], 2006. http://nbn-resolving.de/urn:nbn:de:bsz:16-opus-67536.

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Polyakov, Serhiy. "Enhancing User Search Experience in Digital Libraries with Rotated Latent Semantic Indexing." Thesis, University of North Texas, 2015. https://digital.library.unt.edu/ark:/67531/metadc804881/.

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This study investigates a semi-automatic method for creation of topical labels representing the topical concepts in information objects. The method is called rotated latent semantic indexing (rLSI). rLSI has found application in text mining but has not been used for topical labels generation in digital libraries (DLs). The present study proposes a theoretical model and an evaluation framework which are based on the LSA theory of meaning and investigates rLSI in a DL environment. The proposed evaluation framework for rLSI topical labels is focused on human-information search behavior and satisf
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Geiss, Johanna. "Latent semantic sentence clustering for multi-document summarization." Thesis, University of Cambridge, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.609761.

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Spomer, Judith E. "Latent semantic analysis and classification modeling in applications for social movement theory /." Abstract Full Text (HTML) Full Text (PDF), 2008. http://eprints.ccsu.edu/archive/00000552/02/1996FT.htm.

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Thesis (M.S.) -- Central Connecticut State University, 2008.<br>Thesis advisor: Roger Bilisoly. "... in partial fulfillment of the requirements for the degree of Master of Science in Data Mining." Includes bibliographical references (leaves 122-127). Also available via the World Wide Web.
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Buys, Stephanus. "Log analysis aided by latent semantic mapping." Thesis, Rhodes University, 2013. http://hdl.handle.net/10962/d1002963.

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In an age of zero-day exploits and increased on-line attacks on computing infrastructure, operational security practitioners are becoming increasingly aware of the value of the information captured in log events. Analysis of these events is critical during incident response, forensic investigations related to network breaches, hacking attacks and data leaks. Such analysis has led to the discipline of Security Event Analysis, also known as Log Analysis. There are several challenges when dealing with events, foremost being the increased volumes at which events are often generated and stored. Fur
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Hockey, Andrew. "Computational modelling of the language production system : semantic memory, conflict monitoring, and cognitive control processes /." [St. Lucia, Qld.], 2006. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe20099.pdf.

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Alsallal, M. "A machine learning approach for plagiarism detection." Thesis, Coventry University, 2016. http://curve.coventry.ac.uk/open/items/7e903a56-4845-4852-b1a8-2849b1cdb08a/1.

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Plagiarism detection is gaining increasing importance due to requirements for integrity in education. The existing research has investigated the problem of plagrarim detection with a varying degree of success. The literature revealed that there are two main methods for detecting plagiarism, namely extrinsic and intrinsic. This thesis has developed two novel approaches to address both of these methods. Firstly a novel extrinsic method for detecting plagiarism is proposed. The method is based on four well-known techniques namely Bag of Words (BOW), Latent Semantic Analysis (LSA), Stylometry and
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Books on the topic "Latent indexing"

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Bellegarda, Jerome R. Latent Semantic Mapping: Principles and Applications. Morgan & Claypool Publishers, 2007.

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Bellegarda, Jerome R. Latent Semantic Mapping: Principles and Applications. Springer International Publishing AG, 2007.

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Bellegarda, Jerome R. Latent Semantic Mapping: Principles And Applications (Synthesis Lectures on Speech and Audio Processing). Morgan & Claypool Publishers, 2007.

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Salkind, Micah. Do You Remember House? Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190698416.001.0001.

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This interdisciplinary study historicizes house music, the rhythmically focused electronic dance sound born in the post-industrial maroon spaces of Chicago’s queer, black, and Latino social dancers. Working from oral history interviews, archival research, and performance ethnography, it argues that the remediation and adaptation of house by multiple and overlapping crossover communities in its first decade shaped the ways that contemporary Chicago house music producers, DJs, dancers, and promoters re-remember and re-animate house as an archive indexing experiences of queer of color congregatio
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Figueroa, Rafael. Salsa and Related Genres. Greenwood, 1992. http://dx.doi.org/10.5040/9798216010654.

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The Latin sound called salsa, or, more correctly, Afro-Hispanic music of the Antilles, is a vital force on the international contemporary music scene. Having followed the same path as did other popular music genres, such as jazz, from ethnic origins to urban underground and on to worldwide acceptance, salsa has recently also become a subject of academic study. Here Figueroa presents materials about salsa and related musical genres that are accessible in the non-Latin world, with an emphasis on English-language sources. Attempting to serve the varied interests of the musicologist and the anthro
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High School Book-Keeping, Containing Illustrations of the Latest and Best Methods of Keeping Accounts by Single and Double Entry; Business Forms, Correspondence, and Numerous Class Exercises; Also Precis-writing and Indexing. Creative Media Partners, LLC, 2018.

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MacLean, Hs. High School Book-Keeping, Containing Illustrations of the Latest and Best Methods of Keeping Accounts by Single and Double Entry; Business Forms, Correspondence, and Numerous Class Exercises; Also Precis-writing and Indexing. Creative Media Partners, LLC, 2018.

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MacLean, H. S. High School Book-Keeping [microform] : Containing Illustrations of the Latest and Best Methods of Keeping Accounts by Single and Double Entry : Business Forms, Correspondence, and Numerous Class Exercises: Also Précis-Writing and Indexing for The... Creative Media Partners, LLC, 2021.

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MacLean, H. S. High School Book-Keeping [microform] : Containing Illustrations of the Latest and Best Methods of Keeping Accounts by Single and Double Entry : Business Forms, Correspondence, and Numerous Class Exercises: Also Précis-Writing and Indexing for The... Creative Media Partners, LLC, 2021.

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The high school book-keeping: Containing illustrations of the latest and best methods of keeping accounts by single and double entry : business forms, correspondence and numerous class exercises, also précis-writing and indexing : for the use of high schools and collegiate institutes. Copp, Clark, 1986.

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Book chapters on the topic "Latent indexing"

1

Chakraborti, Sutanu, Robert Lothian, Nirmalie Wiratunga, and Stuart Watt. "Sprinkling: Supervised Latent Semantic Indexing." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11735106_53.

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Ishioka, Tsunenori. "Text Segmentation by Latent Semantic Indexing." In New Developments in Psychometrics. Springer Japan, 2003. http://dx.doi.org/10.1007/978-4-431-66996-8_80.

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Czyszczoń, Adam, and Aleksander Zgrzywa. "Latent Semantic Indexing for Web Service Retrieval." In Computational Collective Intelligence. Technologies and Applications. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11289-3_70.

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Orengo, Viviane Moreira, and Christian Huyck. "Portuguese-English Experiments Using Latent Semantic Indexing." In Advances in Cross-Language Information Retrieval. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45237-9_11.

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Ruch, Patrick, Robert Baud, Johann Marty, Antoine Geissbühler, Imad Tbahriti, and Anne-Lise Veuthey. "Latent Argumentative Pruning for Compact MEDLINE Indexing." In Artificial Intelligence in Medicine. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11527770_36.

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Gansterer, Wilfried N., Andreas G. K. Janecek, and Robert Neumayer. "Spam Filtering Based on Latent Semantic Indexing." In Survey of Text Mining II. Springer London, 2008. http://dx.doi.org/10.1007/978-1-84800-046-9_9.

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Hernández-Palancar, José, and Alfredo Muñoz-Briseño. "A New Fingerprint Indexing Algorithm for Latent and Non-latent Impressions Identification." In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25751-8_16.

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De, Arijit. "SMS Based FAQ Retrieval Using Latent Semantic Indexing." In Multilingual Information Access in South Asian Languages. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40087-2_10.

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Liu, Xuezheng, Ming Chen, and Guangwen Yang. "Latent Semantic Indexing in Peer-to-Peer Networks." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24714-2_7.

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Kontostathis, April, William M. Pottenger, and Brian D. Davison. "Identification of Critical Values in Latent Semantic Indexing." In Foundations of Data Mining and knowledge Discovery. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11498186_19.

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Conference papers on the topic "Latent indexing"

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Drysdale, Jake, and Jason Hockman. "Latent Space Exploration for Drum Samples." In 2024 International Conference on Content-Based Multimedia Indexing (CBMI). IEEE, 2024. https://doi.org/10.1109/cbmi62980.2024.10859217.

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Girella, Federico, Ziyue Liu, Franco Fummi, Francesco Setti, Marco Cristani, and Luigi Capogrosso. "Leveraging Latent Diffusion Models for Training-Free in-Distribution Data Augmentation for Surface Defect Detection." In 2024 International Conference on Content-Based Multimedia Indexing (CBMI). IEEE, 2024. https://doi.org/10.1109/cbmi62980.2024.10858875.

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Papadimitriou, Christos H., Hisao Tamaki, Prabhakar Raghavan, and Santosh Vempala. "Latent semantic indexing." In the seventeenth ACM SIGACT-SIGMOD-SIGART symposium. ACM Press, 1998. http://dx.doi.org/10.1145/275487.275505.

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Krivenko, Mikhail, and Vitaly Vasilyev. "Sequential latent semantic indexing." In the 2nd Workshop. ACM Press, 2009. http://dx.doi.org/10.1145/1581114.1581117.

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Dasgupta, Anirban, Ravi Kumar, Prabhakar Raghavan, and Andrew Tomkins. "Variable latent semantic indexing." In Proceeding of the eleventh ACM SIGKDD international conference. ACM Press, 2005. http://dx.doi.org/10.1145/1081870.1081876.

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Pandey, Nitin, and Shailendra Singh. "Adaptive latent fingerprint indexing." In 2014 5th International Conference- Confluence The Next Generation Information Technology Summit. IEEE, 2014. http://dx.doi.org/10.1109/confluence.2014.6949369.

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Hofmann, Thomas. "Probabilistic latent semantic indexing." In the 22nd annual international ACM SIGIR conference. ACM Press, 1999. http://dx.doi.org/10.1145/312624.312649.

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Wang, Quan, Jun Xu, Hang Li, and Nick Craswell. "Regularized latent semantic indexing." In the 34th international ACM SIGIR conference. ACM Press, 2011. http://dx.doi.org/10.1145/2009916.2010008.

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Efron, Miles. "Model-averaged latent semantic indexing." In the 30th annual international ACM SIGIR conference. ACM Press, 2007. http://dx.doi.org/10.1145/1277741.1277893.

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Bradford, R. B. "Entity refinement using latent semantic indexing." In 2010 IEEE International Conference on Intelligence and Security Informatics. IEEE, 2010. http://dx.doi.org/10.1109/isi.2010.5484765.

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Reports on the topic "Latent indexing"

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Simon, H. D., and H. Zha. On updating problems in latent semantic indexing. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/650342.

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Furey, John, Austin Davis, and Jennifer Seiter-Moser. Natural language indexing for pedoinformatics. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41960.

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The multiple schema for the classification of soils rely on differing criteria but the major soil science systems, including the United States Department of Agriculture (USDA) and the international harmonized World Reference Base for Soil Resources soil classification systems, are primarily based on inferred pedogenesis. Largely these classifications are compiled from individual observations of soil characteristics within soil profiles, and the vast majority of this pedologic information is contained in nonquantitative text descriptions. We present initial text mining analyses of parsed text i
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Zha, H., and Z. Zhang. On matrices with low-rank-plus-shift structure: Partial SVD and latent semantic indexing. Office of Scientific and Technical Information (OSTI), 1998. http://dx.doi.org/10.2172/663268.

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Jordan, Ramon L., Abed Gera, Hei-Ti Hsu, Andre Franck, and Gad Loebenstein. Detection and Diagnosis of Virus Diseases of Pelargonium. United States Department of Agriculture, 1994. http://dx.doi.org/10.32747/1994.7568793.bard.

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Pelargonium (Geranium) is the number one pot plant in many areas of the United States and Europe. Israel and the U.S. send to Europe rooted cuttings, foundation stocks and finished plants to supply a certain share of the market. Geraniums are propagated mainly vegetatively from cuttings. Consequently, viral diseases have been and remain a major threat to the production and quality of the crop. Among the viruses isolated from naturally infected geraniums, 11 are not specific to Pelargonium and occur in other crops while 6 other viruses seem to be limited to geranium. However, several of these v
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