Browsing by Subject "NLP"
Now showing items 1-7 of 7
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AUTOMATIC TERM EXTRACTION IN TECHNICAL DOMAIN USING PART-OF-SPEECH AND COMMON-WORD FEATURES
(2018-08-07)Extracting key terms from technical documents allows us to write effective documentation that is specific and clear, with minimum ambiguity and confusion caused by nearly synonymous but different terms. For instance, in ... -
EMPWRD: Enhanced Modular Platform for People with Rigid Disabilities
(2019-08-27)Neurological disorders such as amyotrophic lateral sclerosis (ALS) can lead to severe mobility limitations. ALS has even been described as “locked-in” syndrome, since the brain is functional, but the personality is locked ... -
Exploration of NLP-Based Feature Extraction Techniques for Security Analysis and Anomaly Detection of Service Logs
(2023-04-28)The goal of this research is to provide security and machine learning (ML) practitioners with deeper insight when selecting features and algorithms for unsupervised log analysis. This thesis explores the effect of traditional ... -
Investigating Word Embedding Techniques for Extracting Disease, Gene, and Chemical Relationships from Biomedical Texts
(2024-09-25)This thesis investigates word embedding models, including PubMedBERT, BioBERT, SkipGram, CBOW, and GloVe, in the context of Literature-Based Discovery (LBD) within biomedical research, with a specific focus on cancer-related ... -
Non-uniform Language Detection in Technical Writing
(2016-04-21)Technical writing in professional environments, such as user manual authoring, requires uniform language. Non-uniform language detection is a novel task, which aims to guarantee the consistency for technical writing by ... -
PERSONALIZED TOPIC MODELLING OF DOMAIN-SPECIFIC DOCUMENT COLLECTIONS
(2023-04-10)Topic modelling refers to the discovery of abstract topics in a document collection. The abstract topics are often described by a statistical model that models the probabilistic relationship between topics, documents and ... -
Stock Movement Prediction with Deep Learning, Finance Tweets Sentiment, Technical Indicators, and Candlestick Charting
(2020-03-31)Stock prediction has been a popular research topic. Due to its stochastic nature, predicting the future stock market remains a difficult problem. This thesis studies the application of Deep Neural Networks (DNNS) in ...