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Dissertations / Theses on the topic 'NLP in Research'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

CHIUDINELLI, LORENZO. "An IT infrastructure to support oncological research empowered by NLP and temporal data mining." Doctoral thesis, Università degli studi di Pavia, 2020. http://hdl.handle.net/11571/1315929.

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Al giorno doggi i dati elettronici ospedalieri vengono mantenuti in strutture dati che spesso sono organizzati per conservare linformazione ma non la rendono facilmente fruibile per ulteriori applicazioni. Inoltre, allinterno di questi dati si nota una suddivisione netta dellinformazione basata spesso sul dipartimento di provenienza. Manca dunque una visione integrata dei dati che potrebbe dimostrarsi una sorgente inesplorata di informazione. In questa tesi viene presentata lapplicazione di i2b2 come piattaforma dati adatta alla aggregazione di dati provenienti dai vari database ospedalieri e

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2

Day, Trevor Rodney. "A study of a small-scale classroom intervention that uses an adapted neuro-linguistic programming (NLP) modelling approach." Thesis, University of Bath, 2008. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.488898.

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This is a largely qualitative, part quantitative, inquiry into the effectiveness of classroom modelling in helping tertiary students prepare for their AS-level examinations. Classroom modelling, a form of peer modelling developed by the author, draws substantially upon neuro-linguistic programming (NLP), a discipline regarded as controversial in education. Classroom modelling involves students investigating each other's more successful practices and drawing out elements that might be woven into their own practice.

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Blomkvist, Oscar. "Machine Learning Based Sentiment Classification of Text, with Application to Equity Research Reports." Thesis, KTH, Matematisk statistik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-257506.

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In this thesis, we analyse the sentiment in equity research reports written by analysts at Skandinaviska Enskilda Banken (SEB). We provide a description of established statistical and machine learning methods for classifying the sentiment in text documents as positive or negative. Specifically, a form of recurrent neural network known as long short-term memory (LSTM) is of interest. We investigate two different labelling regimes for generating training data from the reports. Benchmark classification accuracies are obtained using logistic regression models. Finally, two different word embedding

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Bhaduri, Sreyoshi. "NLP in Engineering Education - Demonstrating the use of Natural Language Processing Techniques for Use in Engineering Education Classrooms and Research." Diss., Virginia Tech, 2018. http://hdl.handle.net/10919/82202.

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Engineering Education is a developing field, with new research and ideas constantly emerging and contributing 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 consumption of a lot of time and resources. As a result, researchers end up spending a lot of time and effort in analyzing such text repositories. While there is a lot to be gained through in-depth rese

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Pockley, Simon Charles Nepean. "The flight of ducks research report." [Melbourne] : S. Pockley, 1998. http://purl.nla.gov.au/nla/pandora/FOD.

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"Submitted by Simon Charles Nepean Pockley ... as a partial requirement for Degree of Doctor of Philosophy by Project 18th July, 1998". "WARNING culturally sensitive material". Available [on line] http://www.cinemedia.net/FOD/FOD0043.html Archived at ANL http://purl.nla.gov.au/nla/pandora/FOD http Text, graphics, sound and animation The Flight of ducks is a multi-purpose on-line work built around a collection of archival material from a camel expedition into the central Australian frontier in 1933. This journey was revisited in 1976 and retraced in 1996."- leaf 1.

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6

SUI, ZHENHUAN. "Hierarchical Text Topic Modeling with Applications in Social Media-Enabled Cyber Maintenance Decision Analysis and Quality Hypothesis Generation." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1499446404436637.

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7

Runko, Alexander Peter. "Function of the Zinc-Finger Repressor NLZ in the Developing Zebrafish Hindbrain: a Dissertation." eScholarship@UMMS, 2003. https://escholarship.umassmed.edu/gsbs_diss/74.

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Generation of the primitive neuroectoderm into specialized brain subdivisions, such as the hindbrain primordium, involves the regulated coordination of complex morphogenetic and molecular mechanisms. These processes are evident in the segregation of the zebrafish hindbrain into seven distinct lineage-restricted compartments, termed rhombomeres (r), which are established by the interplay of several spatially-restricted expressed genes. These include transcription factors, members of specific signaling pathways and specialized molecules that mediate cell adhesion and identity. Despite their exte

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8

Bertani, Paul. "Advancing Healthcare: A 3D Nanoscale Cell Electroporation Platform and AlGaN/GaN Biosensors for Cyanobacterial Toxin Detection." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu159828807909402.

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9

Ramakrishnan, Vijaya. "Use of Simulation for Tracheostomy Care, a Low Volume, High Risk Nursing Procedure." ScholarWorks, 2018. https://scholarworks.waldenu.edu/dissertations/4981.

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Often, education regarding low volume and high-risk procedures, like tracheostomy, are ignored. Lack of experience, skills, and human resources can lead to decreases in confidence levels, diminished quality of care, and potentially an adverse event. The purpose of this DNP project was to prepare simulation-based education on the tracheostomy procedure and provide hands-on education to bedside nurses. The project answered the question: To what extent will a simulation-based teaching method adequately prepare staff nurses in a post-acute surgical unit to perform this high risk low volume procedu

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10

CHHABRA, MONICA. "Modeling and Analysis of Ligand Docking to Norovirus Capsid Protein for the Computer-Aided Drug Design." University of Cincinnati / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1209001634.

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11

張晏瑋. "An Action Research of Incorporating Mind Mapping with NLP on Mathematics Learning of Children with Disabilities in Resource Classroom." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/15112804290396231983.

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碩士<br>國立高雄師範大學<br>工業科技教育學系<br>100<br>The purpose of this study was to explore the effects of incorporating mind mapping with NLP on mathematics learning of children with disabilities. Using the method of action research, researchers compared students’ work sheets before and after instruction. Based on the data such as students’ and teachers’ interviews and feedback, and reflective essays written by researcher, the conclusions of this study were summarized as follows: 1. Incorporating mind mapping with NLP improved the performance of children with disabilities on mathematics learning. Incorp

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12

Saxena, Apoorv Umang. "Leveraging KG Embeddings for Knowledge Graph Question Answering." Thesis, 2023. https://etd.iisc.ac.in/handle/2005/6082.

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Knowledge graphs (KG) are multi-relational graphs consisting of entities as nodes and relations among them as typed edges. The goal of knowledge graph question answering (KGQA) is to answer natural language queries posed over the KG. These could be simple factoid questions such as “What is the currency of USA? ” or it could be a more complex query such as “Who was the president of USA after World War II? ”. Multiple systems have been proposed in the literature to perform KGQA, include question decomposition, semantic parsing and even graph neural network-based methods. In a separate lin

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13

McMurry, Andrew John. "Distributed analyses of disease risk and association across networks of de-identified medical systems." Thesis, 2015. https://hdl.handle.net/2144/14002.

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Health information networks continue to expand under the Affordable Care Act yet little research has been done to query and analyze multiple patient populations in parallel. Differences between hospitals relating to patient demographics, treatment approaches, disease prevalences, and medical coding practices all pose significant challenges for multi-site analysis and interpretation. Furthermore, numerous methodological issues arise when attempting to analyze disease association in heterogeneous health care settings. These issues will only continue to increase as greater numbers of hospitals ar

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14

Pathak, Kapil. "A Novel Neural Network Architecture for Sentiment-oriented Aspect-Opinion Pair Extraction." Thesis, 2021. https://etd.iisc.ac.in/handle/2005/5231.

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Over the years, fine-grained opinion mining in online reviews has received great attention from the NLP research community. It involves different tasks such as Aspect Term Extraction (ATE), Opinion Term Extraction (OTE), etc. Opinion Term Extraction (OTE) aims to detect different opinion expressions which convey certain attitude in the review while Aspect Term Extraction (ATE) aims to identify the entities or proposition from the review at which the attitude is directed. Recently, the NLP research community got attracted to aspect-opinion relation modeling. Such modeling would be helpful f

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15

陳煜仁. "Electro-optical Research of NLO Material with Reactive 2D Chromophore Prepared by Sol-Gel." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/36288850603911521095.

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碩士<br>國立清華大學<br>化學工程學系<br>95<br>Two dimensional (2D) chromophore, 9-Hexyl-3,6-di (2’-(6-hydroxy hexyl)sulfonylphenyl)-1’-ethenyl)-9H-carbazole(Cz2PhSO2OH), and one dimensional (1D) chromophore 4-N,N-Bis(2- hydroxy ethylene) amine-4’- nitroazobenzene (DR19) with two reactive site proceeded sol-gel process were studied to compare the effects between dimension of chromophore and nonlinear optical (NLO)stability. Hybrid NLO film with another 2D chromophore,9-Hexyl-3,6-di(2’-(6-hexyl)sulfonylphenyl)-1’-ethenyl) -9H– carbazole (Cz2PhSO26C) ,was studied to compare the influence between physical and c

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16

Wagner, Jennifer Lynne. "Effects of coadministration of D-Napvsipq [NAP] and D-Sallrsipa [SAL] on spatial learning after developmental alcohol exposure." Thesis, 2013. http://hdl.handle.net/1805/5066.

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Indiana University-Purdue University Indianapolis (IUPUI)<br>Despite warnings about the dangers of drinking during pregnancy, little progress has been made in reducing alcohol drinking among women of childbearing age. Even after the recognition of pregnancy, 15% of women continue to drink, 3% of which admit to binge drinking. Because we cannot stop women from drinking during pregnancy, and many children with fetal alcohol spectrum disorders (FASD) are adopted, there is a significant need to develop postnatal interventions that can improve the long-term outcome of children adversely affected by

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17

Vaněk, Jiří. "Nové ekologické paradigma jako výzkumný přístup v České republice. Analýza enviromentálních postojů Čechů." Master's thesis, 2017. http://www.nusl.cz/ntk/nusl-357647.

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This thesis focus on the New Ecological Paradigm (NEP) and its measurement instrument New Ecological Paradigm scale. Thesis introduces the New Ecological Paradigm as opposite type of thinking to the Human Exemptionalism Paradigm and provides historical context of the creation of the revised version of the New Ecological Paradigm scale. We carried out a secondary analysis of the data from survey about the European climate change policy acceptance conducted by Ščasný et al in year 2015. Thesis then examined the extent to which people from the Czech Republic, the Great Britain and the Poland endo

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