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 2182 for “"Keywords"”.
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Programming with keywords
… users are familiar with the idea of entering keywords into a web search engine. Hence, if a user is familiar with the vocabulary of an application domain, they may be able to write a set of keywords expressing a command in that domain. For instance, in the web browsing domain, a user might …
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Tracking Keywords in American Studies
<p><em>Tracking Keywords in American Studies</em> is a computational text analysis project that provides interactive data visualizations which allow for deeper analysis of issues and discourses in the American Studies journal <em>American Quarterly</em>. Taking inspiration from <em>Keywords for …
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Inky : Internet keywords with user feedback
The web today is accessed primarily through graphical user interfaces although some of its functionality can be more efficiently invoked through a command line interface. This thesis presents Inky, a sloppy command line for the web. This interface accepts commands that may be out of order, have …
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Preventing injection attacks through automated randomization of keywords
… be applied at runtime. Our system mutates SQL keywords in the program's string constants as they are loaded, and instruments the program's database accesses so that we can verify that all keywords in the final query string have been properly mutated, before passing it to the database. We …
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Modeling phones, keywords, topics and intents in spoken languages
… the basic language components such as phones, keywords, topics and intents during both human/machine interactions and human/human communications. Eventually, if we can develop a machine assistant for people to understand the basic meaning of any language in speech, we could make the human world …
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Secure channel free public key encryption with multiple keywords search
… by. However, no matter what happened, Multiple Keywords Search and Keyword Guessing Attack are still two main research interests for the consideration. This PhD research aims to propose a few PEKS schemes in order to solve both Single and Multiple Keyword(s) Search issues and resist Off-line …
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Contextual topics: advancing text segmentation through pre-trained models and contextual keywords
Text Segmentation (TS) is a Natural Language Processing based task that is aimed to divide paragraphs and bodies of text into topical, semantically aligned blocks of text. This can play an important role in creating structured, searchable text-based representations after digitizing paper-based …
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Improving Deposition Summarization using Enhanced Generation and Extraction of Entities and Keywords
… Further, extracting important entities and keywords from a deposition will help rank the candidate summary sentences and assist with extractive summarization. This work investigates techniques for enhanced generation of canonical sentences and extracting relevant entities and keywords to …
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Semantic Reviewer Matching at Conference Scale with LLM-Generated Keywords and Knowledge-Graph Profiles
… knowledge, and automatically extracted keywords. In particular, it compares traditional text-based similarity approaches with knowledge-graph–enriched representations and keyword-based profiles generated with large language models, showing how these complementary signals improve the …
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Voltage drop apportionment in Eskom's distribution networks
Includes bibliographical references. Keywords: voltage drop Keywords: voltage apportionment Keywords: voltage control
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How to Rank Answers in Text Mining
… do not care about the effect of noise and keywords from the viewpoint of probability distribution. Therefore, we develop a new methodology, the General Entropy, to see how probabilities of noise and keywords affect answer qualities. We firstly analyze some properties of the General Entropy, …
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Understanding the factors driving product searches : an analysis using panel data
… this study explores the effects of organic keywords, organic traffic cost, paid keywords, and paid traffic cost on the organic traffic of these platforms. In addition, the study also included dummy variables to assess the influence of the COVID-19 pandemic and peak seasons on consumer search …
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A keyword-set search system for peer-to-peer networks
… In KSS, the index is partitioned by sets of keywords. KSS builds an inverted index that maps each set of keywords to a list of all the documents that contain the words in the keyword-set. When a user issues a query, the keywords in the query are divided into sets of keywords. The document …
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Curtus: An NLP Tool to Map Job Skills to Academic Courses
… and the Python programming language. Two sets of keywords were used to test the system; the first one is the most common keywords and the second one includes the most and least common keywords. Results from testing the system demonstrate that using the former set of keywords allowed for better …
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Representation of foreign countries in the US press : a corpus study
… and semantic patterns of a given set of keywords. In the first study, premodifiers of the keywords countries/ country/ nations/ nation are examined. It is argued that the semantic patterns of the premodifers construe a hierarchy and polarity among the countries concerned. In the second …
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DESIGN OF A KEYWORD SPOTTING SYSTEM USING MODIFIED CROSS-CORRELATION IN THE TIME AND THE MFCC DOMAIN
… (KWS) is a system that recognizes predefined keywords in spoken utterances or written documents. The objective is to obtain the highest possible keyword detection rate without increasing the number of false detections in a system. The common approach to keyword spotting is the use of a Hidden …
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Smart Search Engine For Information Retrieval
… of a document can be described by a set of keywords. With two experiments designed and carried out in this project, the experiment result demonstrates positive evidence that meet the smart search theory. In the theory proposed in this project, the smart search aims to determine a set of …
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Automatic detection of research interest using topic modeling
… any faculty members of MIT, and a list of topic keywords such as that of the Library of Congress. The topic model was generated using a variant of Latent Dirichlet Allocation coupled with a pointwise mutual information analysis between topic keywords and latent topics.
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Enhancing Students' Science Content Knowledge Through Text Structure Awareness
… control group. Usage of specific text structure keywords did not increase. However, students did use synonyms of keywords. Recommendations for further research are discussed.
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Visually guided flight in birds using the budgerigar (Melopsittacus undulatus) as a model system
Keywords: Edge detection, Optic flow, Obstacle avoidance
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