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Full-Text Articles in Library and Information Science

The Ensemble Mesh-Term Query Expansion Models Using Multiple Lda Topic Models And Ann Classifiers In Health Information Retrieval, Sukjin You May 2020

The Ensemble Mesh-Term Query Expansion Models Using Multiple Lda Topic Models And Ann Classifiers In Health Information Retrieval, Sukjin You

Theses and Dissertations

Information retrieval in the health field has several challenges. Health information terminology is difficult for consumers (laypeople) to understand. Formulating a query with professional terms is not easy for consumers because health-related terms are more familiar to health professionals. If health terms related to a query are automatically added, it would help consumers to find relevant information. The proposed query expansion (QE) models show how to expand a query using MeSH (Medical Subject Headings) terms. The documents were represented by MeSH terms (i.e. Bag-of-MeSH), which were included in the full-text articles. And then the MeSH terms were used to generate …


Baby Boomers And Technology: Factors And Challenges In Utilizing Mobile Devices, Renee K. Bennett- Kapusniak Dec 2015

Baby Boomers And Technology: Factors And Challenges In Utilizing Mobile Devices, Renee K. Bennett- Kapusniak

Theses and Dissertations

This exploratory dissertation study reports an investigation of Baby Boomers utilizing mobile technology to determine how Baby Boomers were utilizing mobile devices and if there were any types of challenges and affecting factors some Baby Boomers could face when searching for information in an online mobile environment. Fifty Baby Boomer participants were recruited by a purposive snowball sampling method and were divided into two groups, twenty-five Younger Boomers and twenty-five Older Boomers to look for comparisons and differences among the Baby Boomers in regards to mobile technology usage, search activities, environmental context, frequency and duration of search activities, as well …


Using A Pearl Harvested Synonym Ring For The Creation Of A Digital Index On Giftedness, Nichole E. Mortimer Apr 2015

Using A Pearl Harvested Synonym Ring For The Creation Of A Digital Index On Giftedness, Nichole E. Mortimer

Electronic Thesis and Dissertation Repository

This thesis examined the use of a pearl harvested synonym ring in the creation of a digital index on the subject of giftedness, with the goal of better defining the available information in the field and facilitating information retrieval. The pearl harvested synonym ring was used in the retrieval of citations relating to giftedness in the ERIC database. A content analysis of these citations provided the list of topics that would form the basis of a digital index. When the topics retrieved using the pearl harvested synonym ring were compared to the indices of two textbooks on gifted education, they …


Community Interest As An Indicator For Ranking, Xiaozhong Liu Aug 2012

Community Interest As An Indicator For Ranking, Xiaozhong Liu

School of Information Studies - Dissertations

Ranking documents in response to users' information needs is a challenging task, due, in part, to the dynamic nature of users' interests with respect to a query. We hypothesize that the interests of a given user are similar to the interests of the broader community of which he or she is a part and propose an innovative method that uses social media to characterize the interests of the community and use this characterization to improve future rankings. By generating a community interest vector (CIV) and community interest language model (CILM) for a given query, we use community interest to alter …


Learning And Relevance In Information Retrieval: A Study In The Application Of Exploration And User Knowledge To Enhance Performance, Harvey Stuart Hyman Jul 2012

Learning And Relevance In Information Retrieval: A Study In The Application Of Exploration And User Knowledge To Enhance Performance, Harvey Stuart Hyman

USF Tampa Graduate Theses and Dissertations

This dissertation examines the impact of exploration and learning upon eDiscovery information retrieval; it is written in three parts. Part I contains foundational concepts and background on the topics of information retrieval and eDiscovery. This part informs the reader about the research frameworks, methodologies, data collection, and instruments that guide this dissertation.

Part II contains the foundation, development and detailed findings of Study One, "The Relationship of Exploration with Knowledge Acquisition." This part of the dissertation reports on experiments designed to measure user exploration of a randomly selected subset of a corpus and its relationship with performance in the information …


A Comparative Study On Text Categorization, Aditya Chainulu Karamcheti May 2010

A Comparative Study On Text Categorization, Aditya Chainulu Karamcheti

UNLV Theses, Dissertations, Professional Papers, and Capstones

Automated text categorization is a supervised learning task, defined as assigning category labels to new documents based on likelihood suggested by a training set of labeled documents. Two examples of methodology for text categorizations are Naive Bayes and K-Nearest Neighbor.

In this thesis, we implement two categorization engines based on Naive Bayes and K-Nearest Neighbor methodology. We then compare the effectiveness of these two engines by calculating standard precision and recall for a collection of documents. We will further report on time efficiency of these two engines.