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 42 for “"Term-Frequency"”.
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Feature selection to enhance android malware detection using modified term frequency-inverse document frequency (MTF-IDF)
… of feature selection algorithm by utilizing Term Frequency-Inverse Document Frequency (TF-IDF) as the main algorithm in Android malware detection. The TF-IDF algorithm is used to filter Android features filtered before detection process. However, IDF is unaware to the training class labels …
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Evaluation of Word and Paragraph Embeddings and Analogical Reasoning as an Alternative to Term Frequency-Inverse Document Frequency-based Classification in Support of Biocuration
… that improves on the commonly used term frequency-inverse document frequency (TF-IDF ) representation by capturing semantic relations? The analysis measures the quality of sentence classification using term TF-IDF representations, and finds a practical upper limit to precision and …
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A Comparison of Statistical Filtering Methods for Automatic Term Extraction for Domain Analysis
Fourteen word frequency metrics were tested to evaluate their effectiveness in identifying vocabulary in a domain. Fifteen domain engineering projects were examined to measure how closely the vocabularies selected by the fourteen word frequency metrics were to the vocabularies produced by domain …
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Natural Language Processing methods for short informal text
… was inspired by the relation between the word's frequency and the context words frequencies (words surrounding the selected word) over time. This relation had been translated to co-occurrence patterns and stored as word embeddings after being transformed into feature space. The features had been …
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Educational System for Recommending Study Activities
… počítání podobnosti dokumentů je využíváno metod Term Frequency - Inverse Document Frequency a vnoření slov.Pro používání modulu a jeho komunikaci modulu s rozhraním OU Analyse je implementováno RESTful API.
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The fan fiction reading guide: the use of multimedia and comments as close reading tools
… from these works through topic modeling and term frequency as well as other data analysis methods. Through both the data analysis and the interviews, several conclusions were discovered, including the conclusion that readers are able to build their skills through fan fiction and …
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Distributed Denial of Service Attack Detection
… two popular concepts from information retrieval: Term Frequency (TF)-Inverse Document Frequency (IDF) and Latent Semantic Indexing (LSI). We analyzed web server log data generated in a distributed environment. Our evaluation results indicate that while all the approaches can detect various ranges …
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Classification and visualisation of text documents using networks
… to the traditional document model with term frequency inverse-document-frequency. We were interested in establishing whether or not the use of graph weighting schemes and graph features could increase test accuracy for text classification tasks. As far as we can tell from the literature, …
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Mixed-Language Arabic- English Information Retrieval
… was developed. In this cross-lingual model, term frequency, document frequency and document length components in mixed queries are estimated and adjusted, regardless of languages, while at the same time the model considers the unique mixed-language features in queries and documents, such as …
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Oscillator Phase Noise Reduction Using Nonlinear Design Techniques
Phase noise from radio frequency (RF) oscillators is one of the major limiting factors affecting communication system performance. Phase noise directly effects short-term frequency stability, Bit-Error-Rate (BER), and phase-locked loop adjacent-channel interference. RF oscillator circuits contain …
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Machine learning and deep learning techniques for natural language processing with application to audio recordings
… text was represented in numerical form using the Term Frequency-Inverse Document Frequency (TF- IDF) and the Count Vectorizer. The study then compared the accuracy of Artificial Neural Network (ANN) and Naïve Bayes classifiers in predicting the employment status of the debtor. To evaluate the …
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New Weighting Schemes for Document Ranking and Ranked Query Suggestion
Term weighting is a process of scoring and ranking a term’s relevance to a user’s information need or the importance of a term to a document. This thesis aims to investigate novel term weighting methods with applications in document representation for text classification, web document ranking, and …
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A Bi-Encoder LSTM Model for Learning Unstructured Dialogs
… systems. This thesis presents a Long Short Term Memory (LSTM) based Recurrent Neural Network architecture that learns unstructured multi-turn dialogs and provides implementation results on the task of selecting the best response from a collection of given responses. Ubuntu Dialog Corpus …
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Attitude dynamics stabilization with unknown delay in feedback control implementation
… to form a nominal system with a perturbation term. Frequency domain analysis is employed in order to construct necessary and sufficient stability conditions for the nominal system. Consequently, a complete type L-K functional is constructed for stability analysis that includes the perturbation …
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Improving document representation by accumulating relevance feedback : the relevance feedback accumulation (RFA) algorithm
… techniques are dominated by variants of the term-frequency analysis approach, based on the assumption that the more occurrences a term has throughout a document the more important the term is in that document. Inherent drawbacks associated with this approach include: poor index quality, high …
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Phononic Frequency Combs
Optical frequency combs have resulted in significant advances in optical frequency metrology and found wide application to precise physical measurements and molecular fingerprinting. A direct analogue of frequency combs in the phononic or acoustic domain has not been reported to date. This thesis …
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An enhanced feature selection technique for classification of group based holy Quran verses
… using StringtoWordVector with weighted Term Frequency-Inverse Document Frequency (TF-IDF). Meanwhile, the classification phase has involved four algorithms: Naïve Bayes (NB), k-Nearest Neighbor (k-NN), Support Vector Machine (LibSVM), and Decision Trees (J48). The experiment results were …
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Deep Assertion discovery using word embeddings
… – using the numerical statistic like TF-IDF (Term Frequency-Inverse Document Frequency), using word embedding approaches like Word2Vec in Deep Learning frameworks. We have shown that the assertions discovered using our proposed framework can be effectively used for the topic-based …
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Probability models for information retrieval based on divergence from randomness
… theory, suitable for the construction of term-weighting models of Information Retrieval. Our term-weighting functions are created within a general framework made up of three components. Each of the three components is built independently from the others. We obtain the term-weighting …
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Development of ultra-stable MEMS oscillators with 10⁻¹¹-level frequency stability via dual-mode temperature compensation
This thesis investigates the long-term frequency stability limits of encapsulated silicon MEMS resonators and develops two clock architectures to achieve high-precision, low-drift operation suitable for timing applications. The study is based on an encapsulated, heavily boron-doped Lamé-mode …
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