Browsing by Subject "Natural Language Processing"
Now showing items 1-17 of 17
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ADDRESSING CHALLENGES OF TWITTER FEATURE ENGINEERING FOR MACHINE LEARNING IN DIFFERENT DOMAINS
(2023-08-08)Feature engineering is one of the essential steps in machine learning. It helps to create a better data model and provides reasonable learning results. In natural language processing, feature engineering becomes even more ... -
Applying Speech Recognition and Language Processing Methods to Transcribe and Structure Physicians’ Audio Notes to a Standardized Clinical Report Format
(2020-03-10)Clinical documentation is an audio recording of the clinical encounter by the specialist which is subsequently manually transcribed to be added to the patient’s medical record. The current clinical documentation process ... -
Augmentation of Financial Datasets and Evaluating Financial Text Generated By A.I.
(2024-06-07)Information is fundamental to decision-making. Yet, data is very sparse for the financial domain, even though, in this era of big data, it seems abundant. The work presented in this thesis addresses that scarcity over seven ... -
Common N-Gram Method: A Promising Approach to Detecting Mental Health Disorders on Social Media
(2023-04-13)This paper addresses the mental health challenges posed by the COVID-19 pandemic and the lack of reliable and accessible diagnostic tools for mental health conditions. The dataset used in this research consists of over 2 ... -
Compromised Tweet Detection Using weighted sub-word embeddings
(2019-08-07)Extracting features and writing styles from short text messages for compromised tweet detection is always a challenge. Short messages, such as tweets, do not have enough data to perform statistical authorship attribution. ... -
Concept Embedding for Deep Neural Functional Analysis of Genes and Deep Neural Word Sense Disambiguation of Biomedical Text
(2019-07-17)As far as Gene Ontology (GO) is concerned, most of the existing gene functional similarity measures combine information content-based semantic similarity scores of single GO-term pairs to estimate gene functional similarity, ... -
CONTEXT-AWARE SEMANTIC TEXT MINING AND REPRESENTATION LEARNING FOR TEXT DISAMBIGUATION AND ONLINE HARASSMENT CLASSIFICATION
(2023-12-15)This dissertation presents a new method for text representation learning and applies it to two Natural Language Processing (NLP) problems, namely, word sense disambiguation and text classification. Word Sense Disambiguation ... -
An Ensemble Regression Approach For OCR Error Correction
(2017-04-11)This thesis deals with the problem of error correction for Optical Character Recognation (OCR) generated text, or OCR-postprocessing: how to detect error words in a text generated from OCR process and to suggest the most ... -
Evaluation of Machine Learning Models for Patient Data De-identification in Clinical Records
(2018-08-29)In research that involves medical records, it is important that patient-identifiable details are removed before the records are made available for research, a requirement enforced by the HIPAA Privacy Rule and Public Law ... -
Fast calculation of n-gram-based phrase similarity
(2017-12-18)Text Relatedness Using Word and Phrase Relatedness Method (TrWP) is a text relatedness measure that computes semantic similarity between words and phrases utilizing aggregated statistics from the Google Web-1T corpus. The ... -
Harmonized System Code Classification Using Transfer Learning with Pre-Trained Weights
(2021-08-13)The Harmonized System (HS) was developed as a multipurpose international product nomenclature that describes the type of good that is shipped. It allows customs authorities to identify and clear every commodity that enters ... -
Local Methods for Document-Level Natural Language Processing
(2023-12-14)Given the recent rise in popularity of methods based on Deep Neural Networks inside Natural Language Processing (NLP), important progress has been made in a variety of tasks that was not possible before, given their ... -
Music Composer Recognition from MIDI Representation using Deep Learning and N-gram Based Methods
(2022-10-07)In order to answer conceptually basic queries like “Who created this piece?” the discipline of computational musicology frequently requires the analysis of detailed characteristics. Melodic lines, rhythmic patterns, ... -
Social media data and computer vision in social impact assessment: Understanding human dimensions and cultural ecosystem services in hydroelectric landscapes
(2024-08-21)Social media data has proven to be a valuable resource for assessing social impacts, especially when combined with rapid advancements in artificial intelligence technologies. This combination enables comprehensive analyses ... -
Towards an AI-enabled and Emotion-Adaptive Persuasive Technology for Improving Mental Health and Well-being
(2024-10-02)Emotion regulation (ER) is crucial for psychological well-being, as negative emotions can lead to mental health issues. However, little is known about personalizing persuasive technologies (PTs) to deliver just-in-time ER ... -
UNSUPERVISED PARAPHRASE GENERATION FROM HIERARCHICAL LANGUAGE MODELS
(2018-12-14)Paraphrase generation is a challenging problem that requires a semantic representation of language. Language models implemented with deep neural networks (DNN) have the ability to transform text to a real valued vector ... -
USING NLP TO QUANTIFY THE EFFECTS OF NON-GAAP MEASURES TO PREDICT THE OUTCOME OF SECURITIES LAWSUITS
(2019-12-10)The Management Discussion and Analysis (MD&A) is arguably the most tonal section of the reports provided to the U.S. Securities and Exchange Commission. As part of that dialogue, companies use non-standardized financial ...