Latent Semantic Indexing
Novelty Detection by Latent Semantic Indexing
... matrix. Latent Semantic Indexing (LSI) is a prominent machine learning method to reveal the semantic relationship between different terms in a ...a latent semantic space where ...
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Spam Filtering Based on Latent Semantic Indexing
... on Latent Semantic Indexing Wilfried ...of latent seman- tic indexing (LSI) applied to the task of spam filter- ing is ...and latent semantic indexing are applied ...
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Disambiguating Noun Compounds with Latent Semantic Indexing
... Resnik and Lauer both depend on hand-crafted knowledge sources; the applicability of their ap- proaches is therefore limited by the coverage of these resources. Thus their methods would al- most certainly perform less ...
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Semantic search using Latent Semantic Indexing and Word Net
... of semantic search, where the only comparator for the objects under study is semantic similarity between the ...the Latent Semantic Indexing ...the semantic similarities of the ...
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Framework for Document Retrieval using Latent Semantic Indexing
... approach. Latent Semantic Indexing (LSI) model is a concept based retrieval method that exploits the idea of vector space model and singular value ...
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On the Performance of Latent Semantic Indexing-based Information Retrieval
... 2 Fluid Dynamics Division, School of Science, VIT University, Vellore, India Conventional vector-based Information Retrieval (IR) models: Vector Space Model ( VSM ) and Generalized Vector Space Model (GVSM) represents ...
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Genetic algorithm for text clustering based on latent semantic indexing
... 2. Latent semantic indexing model for documents representation The purpose of LSI is to extract a smaller number of dimensions that are more robust indicators of meaning than individual ...a ...
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A Novel Approach for Document Categorization Based On Latent Semantic Indexing
... weights, Latent Semantic Indexing, SVMs ...on latent semantic indexing (TD-LSI). Latent Semantic Indexing (LSI) is a classifier used to represent texts in ...
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Generic Text Summarization Using Probabilistic Latent Semantic Indexing
... Nara 630-0192, Japan [email protected] Abstract This paper presents a strategy to generate ge- neric summary of documents using Probabilistic Latent Semantic Indexing. Generally a docu- ment contains ...
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Efficient Probabilistic Latent Semantic Indexing using Graphics Processing Unit
... Probabilistic Latent Semantic Indexing (PLSI), which is an automated document indexing method based on a statistical latent semantic model, exploiting the high parallelism of ...
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Web Search Result Clustering using Heuristic Search and Latent Semantic Indexing
... New Delhi, India ABSTRACT Giving user a simple and uncomplicated web search result representation is an active area of Information Retrieval research. Traditional search engines use the hyperlink structure of the web to ...
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A unified approach to non-negative matrix factorization and probabilistic latent semantic indexing
... References [31,32] outlined algorithms for NMF based on Kullback-Leibler divergence and Euclidean distance. These are related to the Poisson and Gaussian likelihoods, respectively, between two nonnegative matrices. They ...
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Improved Similarity Based Matrix Completion Algorithm Using Latent Semantic Indexing
... for latent semantic ...terms, latent semantic indexing can be used to spot patterns in the association between the important expressions and concepts enclosed in the ...
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Latent Semantic Indexing based Intelligent Information Retrieval System for Digital Libraries
... 3. Latent Semantic Indexing (LSI) In VSM, since normally not every word appears in each document, the document matrix is usu- ally of a high dimension and ...
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SERG. Reconstructing Requirements Traceability in Design and Test Using Latent Semantic Indexing
... extent Latent Semantic Indexing (LSI), an information retrieval technique, can help recovering the information needed for automatically reconstructing traceability of requirements during the ...
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Abstract Syntax Trees with Latent Semantic Indexing for Source Code Plagiarism Detection
... Abstract: In this paper, we study and analyze the results of combining two source code plagiarism detection approaches by making some modifications as compared to the existing systems to detect source code plagiarism in ...
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Toward an enhanced Arabic text classification using cosine similarity and Latent Semantic Indexing
... However, Latent Semantic Indexing (LSI) is a better textual representation technique as it maintains semantic information between the ...
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The dynamics of dimensionality reduction for information retrieval: a study of latent semantic indexing using simulated data.
... 7. Conclusion Using multinormally distributed artificial datasets we tested the impact of a variety of variables on the dynamics of dimensionality reduction in latent semantic indexing (LSI). Our ...
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Content based Video Retrieval using Latent Semantic Indexing and Color, Motion and Edge Features
... Nanded ABSTRACT Optimal efficiency of the retrieval techniques depends on the search methodologies that are used in the video processing system. The use of inappropriate search methodologies may make the processing ...
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Nonnegative Matrix Factorization and Probabilistic Latent Semantic Indexing: Equivalence, Chi-square Statistic, and a Hybrid Method
... Non-negative Matrix Factorization (NMF) and Prob- abilistic Latent Semantic Indexing (PLSI) have been successfully applied to document clustering recently. In this paper, we show that PL[r] ...
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