Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 16 of 16 for “"Document clustering"”.
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Incorporating background knowledge in document clustering
Thesis (Ph. D.)--Michigan State University. Dept. of Computer Science, 2010
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Using document clustering and language modelling in mediated information retrieval.
Our work addresses a well documented problem: users are frequently unable to articulate a query that clearly and comprehensively expresses their information need. This can be attributed to the information need being too ambiguous and not clearly defined in the user's mind, to a lack of knowledge of …
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Investigation of machine learning tools for document clustering and classification
Data clustering is a problem of discovering the underlying data structure without any prior information about the data. The focus of this thesis is to evaluate a few of the modern clustering algorithms in order to determine their performance in adverse conditions. Synthetic Data Generation software …
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Semantic Frameworks for Document and Ontology Clustering
… efficient ways to identify related publications. Clustering, a technique used in many fields, is one way to facilitate this. Ontologies can also help in addressing the problem of finding related entities, including research publications. However, the development of new methods of clustering has …
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Matrix Factorization: Nonnegativity, Sparsity and Independence
… recommender systems, brain data analysis, and document clustering. In this dissertation, we are interested in matrix factorizations which impose the requirements of nonnegativity, sparsity or independence.
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An investigation of computerized information storage and retrieval methods, in a film library organized according to the universal decimal classification
… "learn" from enquiries was built and tested, and document clustering was also investigated as a method of subject classification. A modular approach to retrieval system design was developed within the framework of a Relational Database system, so that the various retrieval methods examined in the …
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Pattern extraction and clustering for high-dimensional discrete data
… We reformulate each of the problems as a special clustering problem that has the same optimal solution as the corresponding original problem. Making use of this property, we develop clustering algorithms to solve corresponding low-rank matrix factorization problems. We prove that most of our …
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Representing semantic relatedness
… question we must address is how to represent documents. The way a document is organised reflects certain explicit and implicit semantic and syntactical coupling relationships which are embedded in its contents. The effective capturing of such content couplings is thereby crucial for a genuine …
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Ranking techniques for keyphrase extraction
… that summarize and characterize the contents of documents. They help users explore sets of documents and quickly understand the contents of individual documents. Most academic papers do not have keyphrases assigned to them, and manual keyphrase assignment is highly laborious. As such, there is a …
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Mapping the knowledge base of information policy: clusters of documents, people and ideas
… a bibliometric census study an analysis of document clustering; an author cocit.ation study; and a content analysis. Extensive use was made of multivariate statistical techniques, notably principal components analysis, hierarchical clustering, discriminant and correspondence analysis to …
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Exploring the application of Natural Language Processing to scientific medical cannabis publications
… natural language processing techniques (such as document clustering and topic modelling, global vector word embeddings and supervised document classifiers) are used to group 500 journal articles from the general literature on cannabis according to broad research topics; analyse the interaction …
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Scalability of Stepping Stones and Pathways
… it, and returns the result as a ranked list of documents. However, this approach is not the most effective method to support the task of finding document associations (relationships between concepts or queries) both for direct or indirect relationships. The Stepping Stones and Pathways (SSP) …
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System Governance Analysis of Complex Systems
… literature set by a novel method of content document clustering analysis to reveal important elements of governance. Second, a conceptual framework for analysis of system governance was constructed from the confluence of extant governance literature and systems theory. This governance system …
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The Evolution of Topological Concepts in Online Social Networks
… data and real-world citation networks. Secondly, document clustering methods for OSNs are developed using language embedding models to represent the textual content and unsupervised clustering algorithms to discover latent topics. These methods are evaluated on a clustering task on three …