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 10 of 10 for “"latent semantic analysis (LSA)"”.
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Predicting 30-Day Unplanned ICU Readmissions Using Deep Learning and Natural Language Processing Techniques: A MIMIC IV Data Analysis
… engineered using several methods, including Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), and word embeddings.</p> <p>We sequentially implement three distinct Dense Neural Networks (DNNs) combined with the LightGBM gradient-boosting framework. Our model attained a 5-fold …
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HiMean: A HyGene Approach to Semantic Analysis in a Medical Decision-Making Task
… makes an exploratory comparison between two semantics models, Latent Semantic Analysis (LSA) and a newly introduced HiMean model based on the HyGene architecture, in a medical decision-making context. Emphasis is placed on using real-world, human decipherable input to produce rational …
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Applying latent semantic analysis to computer assisted assessment in the Computer Science domain: a framework, a tool, and an evaluation
… the literature review of systems based on Latent Semantic Analysis (LSA), a statistical natural language processing technique that has been used for automated assessment of essays. The evaluation framework can help developers publish their results in a format that is comprehensive, …
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Exposing the hidden vocal channel: Analysis of vocal expression
… This process included 1) an interactive analysis across each condition to discover its distinguishing characteristics, 2) feature selection and evaluation via unequal variance sensitivity measurements and examination of means and 2-sigma variances across conditions, and 3) iterative, …
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Digital Approaches to Troubadour Song
… melodies and to apply computational methods of analysis to identify the musical characteristics of the melodies, find patterns and relationships, and track trends in style both over time and within the works of individual authors. In this study, I first illustrate the methodology I followed to …
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Choice Blindness: The Incongruence of Intention, Action and Introspection
… their choices. Paper three applies this form of analysis of introspection and confabulation to a second corpus of reports collected within the choice blindness paradigm. In this paper we use word-frequency and latent semantic analysis (LSA) to contrast the introspective reasons given in …
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Multimedia Content-Based Indexing and Recognition in Digital Libraries
… detection algorithm. Moving along to text-based analysis, we will explore the idea of Latent Semantic Analysis (LSA). This type of analysis is very important in search engines and various other kinds of semantic analyzers. LSA makes use of matrices and Singular Value Decomposition to sort out the …
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Canonical Correlation and Correspondence Analysis of Longitudinal Data
… study these relationships. Canonical correlation analysis (CCA) is a general multivariate method that is mainly used to study relationships when both sets of variables are quantitative. When the variables are qualitative (categorical), a technique called correspondence analysis (CA) is used. …
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Usefulness of social tagging in organizing and providing access to the web: An analysis of indexing consistency and quality
… the quality and efficacy of tagging. The data analysis was divided into three phases: analysis of indexing consistency, analysis of tagging effectiveness, and analysis of tag attributes. Most indexing consistency studies have been conducted with a small number of professional indexers, and they …
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Building a question answering system for the introduction to statistics course using supervised learning techniques
… times Inverse Document Frequency (TF-IDF), Latent Semantic Analysis (LSA), Latent Dirichlet Allocation (LDiA), pre-trained Global Vector (GloVe) word embeddings and customengineered features were also compared. This study found that a model using an MLR classifier with TF-IDF unigram and …