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 24 for “"text analytics"”.
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Multi-Model Semantic Interaction for Scalable Text Analytics
Learning from text data often involves a loop of tasks that iterate between foraging for information and synthesizing it in incremental hypotheses. Past research has shown the advantages of using spatial workspaces as a means for synthesizing information through externalizing hypotheses and …
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Text Analytics for Customer Engagement in Social Media
… we propose a framework that foregrounds the textual artifacts involved in online communication. Second, we develop a novel method for discovering the elements of successful Business to Customer (B2C) messages in online communities. Third, we propose a method, validated through …
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Semantic Text Analytics Technique for Classification of Manufacturing Suppliers
… embedded in the data represented in plain text. Manufacturing Capability data is one type of data often represented in unstructured format on the websites of manufacturing firms. If manufacturing capability data is parsed, organized, and analyzed properly, it can be used for supplier …
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Human Learning-Augmented Machine Learning Frameworks for Text Analytics
… to build human learning–augmented AI in the context of text analytics. The first study examined compositionality—how information is decomposed into small pieces, which are then recomposed to generate larger pieces of information. Compositionality is considered as a fundamental cognitive process, …
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Text Analytics to Inform Deviation Root Cause Analysis in Biomanufacturing
… processing tools to derive information from text describing deviations and causal factors. Several methods are explored, namely, unsupervised clustering using machine learning and natural language processing to identify and cluster similar causal factors, explicit text extraction which …
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Understanding Employee Attrition Factors in the Information Technology Sector: A Text Analytics Perspective
Recently online reviews on websites have provided a precious source of data for businesses. Some of these websites collect customers’ opinions about products and services provided by these businesses, some others such as Glassdoor and Indeed are the websites on which the employees write their …
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Novel context-based text analytics methods with applications on customer reviews for products and services
… opinions. Our model is not only used for text document classification, but it is also used to guide decision-makers with deeper and insightful information from customer feedback. The meaning of the words and short n-grams are context dependent, and it must be understood in the sentence …
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Methods for analyzing and incorporating customer feedback in automotive design and manufacturing
… and advanced technology. Lastly, we used text analytics to provide structure to open-ended survey responses, which enabled us to identify concerns expressed by customers that were not otherwise captured using the current tool. The cross-functional approach enabled us to gather quantitative …
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Consumer-Centric Innovation for Mobile Apps Empowered by Social Media Analytics
… app performance. The last study proposes a novel text analytics framework to discover different information types from user reviews. The research contributes theoretical and practical insights to consumer-centric innovation and social media analytics literature.
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CREATE: Clinical Record Analysis Technology Ensemble
… of a base set of features defined using text analytics, after which (iii) association rule learning was used in a novel way to generate new features, followed by a (iv) feature selection step to eliminate irrelevant features, followed by a (v) classifier training algorithm in which a …
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Application of artificial intelligence techniques for root cause analysis of customer support calls
… artificial intelligence techniques in the context of Dell's Client Solutions Division, specifically to analyze the root cause of customer calls so actions can be taken to remedy them. This improves the customer experience while reducing the volume of calls, and hence costs, to Dell. This …
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Business driven method for managing business process changes in the era of digitalization
… of information in process models and descriptive text formats, and by exploiting the scientific field of organizational change management, the result of the comparative analysis is used to provide tailored, practical recommendations for operational change management of business processes. This …
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Teacher Perspectives on Content Literacy in Elementary Schools
… lesson plans, and antidotal notes. SPSS Modeler Text Analytics was used to manage the qualitative data. One important finding of this study is the positive impact that professional learning communities have on teachers. It was revealed that teachers feel professional learning communities that …
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Reducing Physician Burnout and Costs in Outpatient Healthcare Settings via Advanced Analytics
… offers actionable insights driven by data and analytics to address the previously mentioned key healthcare challenges. Chapter 2 leverages advanced text analytics to identify work themes of primary care physicians related to inbox message management. A scalable methodology relying on a Latent …
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Exploring the Impact of Mobile Application Attributes on Customer Experience: An Integrated Method of Big Data Analytics and Impact Asymmetry Analysis
… review, the integrated method of big data analytics and impact asymmetry analysis (IAA) was developed. Then, a significant framework of hotel mobile application attributes is identified based on the Information System (IS) Success Model and conducting the big data analytics consists of …
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An Analysis and Improvement of Robo-Advisory
… to construct a profiling taxonomy validated with text analytics features and clustering. Holdings-based mapping is combined with structured analysis of strategy disclosures. A pragmatic two-layer catalogue—eleven equity cores with horizon/environmental, social, and governance (ESG)/knowledge …
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The Role of Corporate Digital Responsibility in Hospitality: Driving Enhanced Firm Performance and Perceptions of Justice
… and propose a framework of CDR in the context of the hospitality industry. Additionally, two empirical studies are conducted to examine the role of CDR practices on firm performance, employee attitudes, and employee work-related outcomes. The purpose of Study 1 is to conceptualize CDR in …
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Automated extraction of product feedback from online reviews: Improving efficiency, value, and total yield
… of the data and the nature of unstructured text make mining these insights challenging and time-consuming. This paper presents three studies examining this problem and suggesting techniques for automated extraction of vital insights. The first study examines the problem of identifying …
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Solving Mysteries with Crowds: Supporting Crowdsourced Sensemaking with a Modularized Pipeline and Context Slices
The increasing volume and complexity of text data are challenging the cognitive capabilities of expert analysts. Machine learning and crowdsourcing present new opportunities for large-scale sensemaking, but it remains a challenge to model the overall process so that many distributed agents can …
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Online Review Analytics: New Methods for discovering Key Product Quality and Service Concerns
… extends the literature of semi-automatic text classification methodology in monitoring and classifying product quality and service concerns. We develop various text classification methods for finding key concerns across a diverse set of product and service categories. Additionally, we …
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