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 20 of 113 for “"Textual data"”.
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Second chance competitive autoencoders for understanding textual data
Every day, an enormous amount of text data is produced. Sources of text data include news, social media, emails, text messages, medical reports, scientific publications, and fiction. To keep track of this data, there are categories, keywords, tags, or labels that are assigned to each text. …
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Content-aware compression for big textual data analysis
… value of this semi-structured and unstructured data has been widely acknowledged, with consequent scientific and commercial exploitation. The ever-increasing data production, however, pushes data analytic platforms to their limit. This thesis proposes techniques for more efficient textual big …
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Transforming geospatial textual data into narrative storytelling visualization
… (LLMs) often struggle to integrate geospatial data into dynamic, interactive visualizations, relying instead on text-based outputs. This limitation hinders the full potential of geospatial data to convey complex information through narrativedriven communication, making it difficult for users to …
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Machine Learning And Natural Language Methods For Detecting Psychopathy In Textual Data
… interactions, it may be possible to use textual samples from psychopaths as a means for understanding and ultimately classifying similar individuals based on the content of their language usage. This paper aims to investigate natural language processing and supervised machine learning …
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MEASURING AND UNDERSTANDING STUDENTS’ SELF-REGULATED LEARNING IN TEXTUAL DATA IN COMPUTER-BASED LEARNING ENVIRONMENTS
… learn, and how to learn. Prior work has used log data to measure SRL in real time, identifying when students use or fail to use SRL and informing adaptive scaffolds that support self-regulation. However, most research has relied on behavioral logs (such as clicks and actions) and only a few …
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Biomedical data retrieval utilizing textual data in a gene expression database by Richard Lu, MD.
… in both the amount of genomic and clinical data that is available. Descriptive textual information deposited with gene expression data in the Gene Expression Omnibus (GEO) is an underutilized resource because the textual information is unstructured and difficult to query. Rendering this …
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Immersive Space to Think: the Role of 3D Immersive Space in Sensemaking of Textual Data
Sensemaking of large textual information is a cognitively intensive task. Prior work has shown the value of large 2D high-resolution-display spaces in supporting the sensemaking process, by providing a "Space to Think" in which analysts can organize information and externalize their thought …
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Data mining techniques for complex application domains
… increased availability of large collection of data in electronic form in a number of application domains including healthcare, e- business, and e-learning. Everyday a large amount of records are stored electronically. However, finding useful information from such a large data collection is a …
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NLP in Engineering Education - Demonstrating the use of Natural Language Processing Techniques for Use in Engineering Education Classrooms and Research
… to the ever-evolving nature of this discipline. Textual data (such as publications, open-ended questions on student assignments, and interview transcripts) form an important means of dialogue between the various stakeholders of the engineering community. Analysis of textual data demands …
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Speech Adaptation Modeling for Statistical Machine Translation
… its effectiveness on the translation of textual data, the translation of spoken language remains a challenge, largely due to the mismatch between the training conditions of MT and the noisy signal that is output by an automatic speech recognition (ASR) system. In the interchange between …
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A graphical, self-organizing approach to classifying electronic meeting output.
… and cognitive load of the large quantity of data. This research builds upon previous work in automating the classification process using a Hopfield Neural Network. Evaluation of the Kohonen output in comparison with the Hopfield and human expert output over the same set of data found that the …
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Sonifying Hamlet
<p><em>Sonifying Hamlet </em>uses data-mining techniques and algorithmic composition to read Shakespeare's <em>Hamlet</em> through sound. In so doing, it attends to pre-semantic, textual data that is only visible when one steps back from reading for narrative and instead focuses on formal details …
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Artificial intelligence powered personality assessment: A multidimensional psychometric natural language processing perspective
… glean personality-related information from textual data which offers rich information and reflects various aspects of personality but has been severely underutilized. In two studies, I connected the five-factor (or Big Five) model (comprised of openness to new experiences, conscientiousness, …
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Presentation of XML content using WYSIWYG templates
… used for both media and more traditional textual data. However, the presentation of XML content has been an area of research ever since its introduction. We discuss the state of the art in XML content presentation, and then describe a new method for user designed transformation using …
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Constructing and modeling text-rich information networks: a phrase mining-based approach
"A lot of digital ink has been spilled on ""big data"" over the past few years, which is often characterized by an explosion of information. Most of this surge owes its origin to the unstructured data in the wild like words, images and video as comparing to the structured information stored in …
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Multimodal representation and translation of the official UK tourism website into Chinese
… website VisitBritain as a case study. Visual and textual data collected from both English and Chinese editions of VisitBritain are analysed to investigate how multiple modes on tourism destination websites combine and interact in communicating meanings and shaping the destination image. The …
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An enhanced feature selection technique for classification of group based holy Quran verses
… The study also developed a group-based Quran dataset to improve on the understanding and analysis of the textual data (Quranic verses). The group-based dataset is a combination of Holy Quran translation and commentary (tafsir). The Quranic verses were selected from two chapters, Surah Al- …
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A social representations approach to the comparison of three textual corpora using ALCESTE
Three corpora of textual data on biotechnology from a range of sources(newspaper articles, focus group transcriptions and responses to an open-ended question from a survey) were analysed using the computer programALCESTE. A comparison of characteristic classes of words from eachcorpus was made in …
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Providing personalised information based on individual interests and preferences.
… of IR systems.To incorporate such a non-textual data type (i.e. dwell) into the hybridisation of the keyword-based and semantic-based searches entails a complex interaction of information attributes in the index structure. A dwell-based filter called dwell-tf-ldf that allows a standard …
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