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 29 for “"Text features"”.
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Predicting text features of social temporal point process
This thesis studies the problem of predicting the text feature of temporal point processes. Temporal point process is common in our daily life - for example, the time sequence of multivariate discussions in online forums with features like text and user profile, and the coordinate sequence of human …
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THE EFFECTS OF READER CHARACTERISTICS, TEXT FEATURES, AND COMPREHENSION PROCESSES ON READING COMPREHENSION
… and the role of reader characteristics, passage features, and comprehension processes in understanding text through the application of explanatory item response models. Participants were 1,190 students from 11 to 20 years recruited from eight schools within four districts. Students represented a …
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Enhancing Struggling Readers' Word Decoding: Assessing the Impact of Digital Text Features
… frequency of students engaging with digital texts in educational settings, it is critical to examine the affordances of digital text features (DTFs) which provide support in the reading process (Clinton-Lisell, 2023; Colwell et al., 2022; Tortorelli & Strong, 2025). These interactive features …
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Creating Opportunities For Learning: Play As A Scaffold For Format Based Informational Text Features
… understanding of format based informational text features. On Day 1 of the intervention, groups of students role played as reporters as they observed classmates at play. During Days 2 - 5 of the intervention, the same students wrote an informational book about the play they had observed. A …
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Comparing Naïve Bayes Classifiers with Support Vector Machines for Predicting Protein Subcellular Location Using Text Features
… systems, namely EpiLoc and HomoLoc, that use features derived from text (abstracts of technical papers), and apply a support vector machine (SVM) classifier to classify proteins into their respective locations. Both EpiLoc and HomoLoc’s prediction accuracy is comparable to that of …
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The roles of prior topic knowledge and text features in how readers map ideas from text
… among the reader's prior topic knowledge, text features, and task conditions as readers constructed idea maps, which are verbal and spatial representations of text. The secondary purpose was to identify mapping strategies and their relationship to the cognitive style of the readers. The …
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Using Ontology-Based Approaches to Representing Speech Transcripts for Automated Speech Scoring
<p>Text representation is a process of transforming text into some formats that computer systems can use for subsequent information-related tasks such as text classification. Representing text faces two main challenges: meaningfulness of representation and unknown terms. Research has shown evidence …
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Conversation understanding and realistic artificial crash data generation with deep learning
… speaker turns to enable extraction of audio features and text embeddings for each speaker turn. In this dissertation we propose that a multimodal transformer network (MTN) can capture the importance of different speak turns and be used to effectively predict the outcome of the call using both …
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Testing a model of procedural document processing
… 1990), and the relationships between document features and reader characteristics. Three information sources were tested in the first study using commercially prepared texts and one experimental text and subjects from 7th and 10th grade and adult students. The experimental text helped the 10th …
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Reading comprehension evaluated through electronic storybooks and traditional print storybooks
… this study was to determine whether electronic text storybooks, when compared to printed storybooks, affect students' comprehension skills. Reading comprehension is a process by which the reader constructs meaning with the text. With electronic texts, the computer is able to control the number …
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Natural Language Descriptions of Deep Visual Features
… specific perceptual, structural, or semantic features of inputs. In computer vision, techniques exist for identifying neurons that respond to individual concept categories like colors, textures, and object classes. But these techniques are limited in scope, labeling only a small subset of …
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Literacy Strategies for Reading and Understanding Nonfiction Texts in the Elementary Grades
… their students to read and understand nonfiction text so they will not only be successful in elementary school, but will also be prepared for the increased demands placed on them in the upper grades and beyond. This literature review investigated the question, what are the most effective literacy …
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Improving music mood classification using lyrics, audio and social tags
… based on the audio content of the music. Lyric text and social tags are resources independent of and complementary to audio content but have yet to be fully exploited. This dissertation research takes up these problems and aims to 1) summarize fundamental insights in music psychology that can …
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Factors Influencing Readers When Matching Texts to Struggling Students
… teachers assess the instructional level of a text in order to properly match books with an individual reader, is used increasingly in literacy programs at the elementary level. Books are “leveled” by using a formula that measures sentence and word difficulty. This research project examines how …
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Indirect supervision for relation extraction using question-answer pairs
… is of great importance for interpreting massive text corpora in an efficient manner. For example, we want to identify the relationship ""president_of"" between entities ""Donald Trump"" and ""United States"" in a sentence expressing such a relation. Traditional RE models have heavily relied on …
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Design, simulation, and testing of a low cost laser micromachining system for flexible and rapid tissue-on-chip fabrication.
… such as Tesla valves and high-resolution text features, with a minimum feature size of 20 𝜇m. We present practical techniques for component selection and process parameter optimization 3 using our simulation, reducing expensive and time-consuming experimentation. This work establishes …
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A review and analysis of East Central Indiana School Study Council corporations' web sites
… intended audience, interaction and transaction features, navigational aids, non-text features, professional development, and recruitment features. Of the 10 Web evaluation categories, navigational aids (50.42%), accuracy (42.06%), and authority (41.8%) are the highest rated components. ECISSC …
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A Common Representation Format for Multimedia Documents
… file format combinations, such as image and text, image and sound, or image, text and sound. The type of multimedia document determines the form of analysis for knowledge architecture design and retrieval methods. Over the last few decades, theories of text analysis have been proposed and …
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Studies in readability: An examination of relationships between readibility measures, patterns of difficulty in selected school history texts, and associated responses of twelve to fourteen year olds
… that although the mean readability levels of textbooks provided for 12-14 year olds were appropriate to their readership, there were very large and seemingly random internal fluctuations. This, coupled with an observed lack of scalar correspondence between formulae, has implications for …
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