Academic literature on the topic 'Latent Semantic Indexing (LSI)'
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Journal articles on the topic "Latent Semantic Indexing (LSI)"
Xu, Yanyan, Dengfeng Ke, and Kaile Su. "Contextualized Latent Semantic Indexing: A New Approach to Automated Chinese Essay Scoring." Journal of Intelligent Systems 26, no. 2 (April 1, 2017): 263–85. http://dx.doi.org/10.1515/jisys-2015-0048.
Full textAtreya, Avinash, and Charles Elkan. "Latent semantic indexing (LSI) fails for TREC collections." ACM SIGKDD Explorations Newsletter 12, no. 2 (March 31, 2011): 5–10. http://dx.doi.org/10.1145/1964897.1964900.
Full textSrinivas, S., and Ch AswaniKumar. "Optimising the Heuristics in Latent Semantic Indexing for Effective Information Retrieval." Journal of Information & Knowledge Management 05, no. 02 (June 2006): 97–105. http://dx.doi.org/10.1142/s0219649206001359.
Full textBlynova, N. "Latent semantic indexing (LSI) and its impact on copywriting." Communications and Communicative Technologies, no. 19 (May 5, 2019): 4–12. http://dx.doi.org/10.15421/291901.
Full textKontostathis, April, and William M. Pottenger. "A framework for understanding Latent Semantic Indexing (LSI) performance." Information Processing & Management 42, no. 1 (January 2006): 56–73. http://dx.doi.org/10.1016/j.ipm.2004.11.007.
Full textLi, Min Song. "A Method Based on Support Vector Machine for Feature Selection of Latent Semantic Features." Advanced Materials Research 181-182 (January 2011): 830–35. http://dx.doi.org/10.4028/www.scientific.net/amr.181-182.830.
Full textPraus, Petr, and Pavel Praks. "Information retrieval in hydrochemical data using the latent semantic indexing approach." Journal of Hydroinformatics 9, no. 2 (March 1, 2007): 135–43. http://dx.doi.org/10.2166/hydro.2007.003b.
Full textAswani Kumar, Ch, M. Radvansky, and J. Annapurna. "Analysis of a Vector Space Model, Latent Semantic Indexing and Formal Concept Analysis for Information Retrieval." Cybernetics and Information Technologies 12, no. 1 (March 1, 2012): 34–48. http://dx.doi.org/10.2478/cait-2012-0003.
Full textAl-Anzi, Fawaz, and Dia AbuZeina. "Enhanced Latent Semantic Indexing Using Cosine Similarity Measures for Medical Application." International Arab Journal of Information Technology 17, no. 5 (September 1, 2020): 742–49. http://dx.doi.org/10.34028/iajit/17/5/7.
Full textZhan, Jiaming, and Han Tong Loh. "Using Latent Semantic Indexing to Improve the Accuracy of Document Clustering." Journal of Information & Knowledge Management 06, no. 03 (September 2007): 181–88. http://dx.doi.org/10.1142/s0219649207001755.
Full textDissertations / Theses on the topic "Latent Semantic Indexing (LSI)"
Zhu, Weizhong Allen Robert B. "Text clustering and active learning using a LSI subspace signature model and query expansion /." Philadelphia, Pa. : Drexel University, 2009. http://hdl.handle.net/1860/3077.
Full textLa, 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.
Full textSuwannajan, Pakinee. "Evaluating the performance of latent semantic indexing." Diss., Connect to online resource, 2005. http://wwwlib.umi.com/dissertations/fullcit/3178359.
Full textAraújo, Hugo Rafael Teixeira Soares. "Exploring biomedical literature using latent semantic indexing." Master's thesis, Universidade de Aveiro, 2012. http://hdl.handle.net/10773/11298.
Full textO 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 dos utilizadores. Estes problemas levam à necessidade de melhorar os sistemas de recuperação de informação, usando técnicas mais poderosas e eficientes. Um desses métodos designa-se por Latent Semantic Indexing (LSI) e, tem sido sugerido como uma boa solução para modelar e analisar texto não estruturado. O LSI permite revelar a estrutura semântica de um corpus, descobrindo relações entre documentos e termos, mostrando-se uma solução robusta para o melhoramento de sistemas de recuperação de informação, especialmente a identificação de documentos relevantes para a pesquisa de um utilizador. Além disso, o LSI pode ser útil em outras tarefas tais como indexação de documentos e anotação de termos. O principal objectivo deste projeto consistiu no estudo e exploração do LSI na anotação de termos e na estruturação dos resultados de um sistema de recuperação de informação. São apresentados resultados de desempenho destes algoritmos e são igualmente propostas algumas formas para visualizar estes resultados.
The rapid increase in the amount of data available on the Internet, and the fact that this is mostly in the form of unstructured text, has brought successive challenges in information indexing and retrieval. Besides the Internet, specific literature databases are also faced with these problems. With the amount of information growing so rapidly, traditional methods for indexing and retrieving information become insufficient for the increasingly stringent requirements from users. These issues lead to the need of improving information retrieval systems using more powerful and efficient techniques. One of those methods is the Latent Semantic Indexing (LSI), which has been suggested as a good solution for modeling and analyzing unstructured text. LSI allows discovering the semantic structure in a corpus, by finding the relations between documents and terms. It is a robust solution for improving information retrieval systems, especially in the identification of relevant documents for a user's query. Besides this, LSI can be useful in other tasks such as document indexing and annotation of terms. The main goal of this project consisted in studying and exploring the LSI process for terms annotations and for structuring the retrieved documents from an information retrieval system. The performance results of these algorithms are presented and, in addition, several new forms of visualizing these results are proposed.
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.
Full textGeiss, 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.
Full textBuys, Stephanus. "Log analysis aided by latent semantic mapping." Thesis, Rhodes University, 2013. http://hdl.handle.net/10962/d1002963.
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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/.
Full textSpomer, 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.
Full textThesis 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.
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.
Full textBooks on the topic "Latent Semantic Indexing (LSI)"
Bellegarda, Jerome R. Latent Semantic Mapping: Principles and Applications. Springer International Publishing AG, 2007.
Find full textBellegarda, Jerome R. Latent Semantic Mapping: Principles and Applications. Morgan & Claypool Publishers, 2007.
Find full textBellegarda, Jerome R. Latent Semantic Mapping: Principles And Applications (Synthesis Lectures on Speech and Audio Processing). Morgan & Claypool Publishers, 2007.
Find full textBook chapters on the topic "Latent Semantic Indexing (LSI)"
Rahman, Nurazzah Abd, Zulaile Mabni, Nasiroh Omar, Haslizatul Fairuz Mohamed Hanum, and Nik Nur Amirah Tuan Mohamad Rahim. "A Parallel Latent Semantic Indexing (LSI) Algorithm for Malay Hadith Translated Document Retrieval." In Communications in Computer and Information Science, 154–63. Singapore: Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-287-936-3_15.
Full textMcCarey, Frank, Mel Ó. Cinnéide, and Nicholas Kushmerick. "Recommending Library Methods: An Evaluation of the Vector Space Model (VSM) and Latent Semantic Indexing (LSI)." In Lecture Notes in Computer Science, 217–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11763864_16.
Full textChakraborti, Sutanu, Robert Lothian, Nirmalie Wiratunga, and Stuart Watt. "Sprinkling: Supervised Latent Semantic Indexing." In Lecture Notes in Computer Science, 510–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11735106_53.
Full textIshioka, Tsunenori. "Text Segmentation by Latent Semantic Indexing." In New Developments in Psychometrics, 689–96. Tokyo: Springer Japan, 2003. http://dx.doi.org/10.1007/978-4-431-66996-8_80.
Full textCzyszczoń, Adam, and Aleksander Zgrzywa. "Latent Semantic Indexing for Web Service Retrieval." In Computational Collective Intelligence. Technologies and Applications, 694–702. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11289-3_70.
Full textOrengo, Viviane Moreira, and Christian Huyck. "Portuguese-English Experiments Using Latent Semantic Indexing." In Advances in Cross-Language Information Retrieval, 147–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45237-9_11.
Full textGansterer, Wilfried N., Andreas G. K. Janecek, and Robert Neumayer. "Spam Filtering Based on Latent Semantic Indexing." In Survey of Text Mining II, 165–83. London: Springer London, 2008. http://dx.doi.org/10.1007/978-1-84800-046-9_9.
Full textDe, Arijit. "SMS Based FAQ Retrieval Using Latent Semantic Indexing." In Multilingual Information Access in South Asian Languages, 100–103. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40087-2_10.
Full textLiu, Xuezheng, Ming Chen, and Guangwen Yang. "Latent Semantic Indexing in Peer-to-Peer Networks." In Lecture Notes in Computer Science, 63–77. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24714-2_7.
Full textKontostathis, April, William M. Pottenger, and Brian D. Davison. "Identification of Critical Values in Latent Semantic Indexing." In Foundations of Data Mining and knowledge Discovery, 333–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11498186_19.
Full textConference papers on the topic "Latent Semantic Indexing (LSI)"
Kontostathis, April. "Essential Dimensions of Latent Semantic Indexing (LSI)." In 2007 40th Annual Hawaii International Conference on System Sciences (HICSS'07). IEEE, 2007. http://dx.doi.org/10.1109/hicss.2007.213.
Full textAl-Anzi, Fawaz S., and Dia AbuZeina. "Enhanced Search for Arabic Language Using Latent Semantic Indexing (LSI)." In 2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC). IEEE, 2018. http://dx.doi.org/10.1109/iconic.2018.8601096.
Full textAmirah, Nik Nur, Tuan Mohamad Rahim, Zulaile Mabni, Haslizatul Mohamed Hanum, and Nurazzah Abdul Rahman. "A Malay Hadith translated document retrieval using parallel Latent Semantic Indexing (LSI)." In 2016 Third International Conference on Information Retrieval and Knowledge Management (CAMP). IEEE, 2016. http://dx.doi.org/10.1109/infrkm.2016.7806346.
Full textLubis, Arif Ridho, Santi Prayudani, Yulia Fatmi, and Okvi Nugroho. "Latent Semantic Indexing (LSI) and Hierarchical Dirichlet Process (HDP) Models on News Data." In 2022 5th International Conference of Computer and Informatics Engineering (IC2IE). IEEE, 2022. http://dx.doi.org/10.1109/ic2ie56416.2022.9970067.
Full textSouza, Erick Nilsen Pereira, and Daniela Barreiro Claro. "Detecção Multilíngue de Serviços Web Duplicados Baseada na Similaridade Textual." In X Simpósio Brasileiro de Sistemas de Informação. Sociedade Brasileira de Computação - SBC, 2014. http://dx.doi.org/10.5753/sbsi.2014.6140.
Full textPapadimitriou, Christos H., Hisao Tamaki, Prabhakar Raghavan, and Santosh Vempala. "Latent semantic indexing." In the seventeenth ACM SIGACT-SIGMOD-SIGART symposium. New York, New York, USA: ACM Press, 1998. http://dx.doi.org/10.1145/275487.275505.
Full textKrivenko, Mikhail, and Vitaly Vasilyev. "Sequential latent semantic indexing." In the 2nd Workshop. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1581114.1581117.
Full textDasgupta, Anirban, Ravi Kumar, Prabhakar Raghavan, and Andrew Tomkins. "Variable latent semantic indexing." In Proceeding of the eleventh ACM SIGKDD international conference. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1081870.1081876.
Full textHofmann, Thomas. "Probabilistic latent semantic indexing." In the 22nd annual international ACM SIGIR conference. New York, New York, USA: ACM Press, 1999. http://dx.doi.org/10.1145/312624.312649.
Full textWang, Quan, Jun Xu, Hang Li, and Nick Craswell. "Regularized latent semantic indexing." In the 34th international ACM SIGIR conference. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/2009916.2010008.
Full textReports on the topic "Latent Semantic Indexing (LSI)"
Simon, H. D., and H. Zha. On updating problems in latent semantic indexing. Office of Scientific and Technical Information (OSTI), November 1997. http://dx.doi.org/10.2172/650342.
Full textZha, 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), August 1998. http://dx.doi.org/10.2172/663268.
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