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 5 of 5 for “"Embedding vectors"”.
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Exploring embedding vectors for emotion detection
… in order to detect emotions. While the word embedding vectors like Word2Vec have been successfully employed in many NLP approaches, the word mover’s distance (WMD) is a method introduced recently to calculate the distance between two documents based on the embedded words. This thesis is …
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Modeling Similarities Among Autism Spectrum Patients Using Word Embeddings on Clinical Notes
… present. We used Doc2Vec to create neural word embedding vectors on the clinical notes presented and K-means clustering to group the patients based on similarities in the notes. The clusters will give us greater insight into the examinations done by clinicians in ABA therapy, the challenging …
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Text mining with word embedding for outlier and sentiment analysis
… mining tools to analyze massive text data. Word embedding is an emerging text analysis technique that leverages the fine-grained statistics of context information to map each word to a vector in the embedding space which reflects the semantic proximity between words. Embedding techniques not only …
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Unified processing of natural language and relational data
… database and its extensibility to allow for word embedding without leaving the relational database. This system can be extended to incorporate several natural language processing (NLP) techniques, such as latent Dirichlet allocations(LDA) or modern models, such as BERT. The combination of NLP and …
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Efficient Image and Video Representations for Retrieval
… the similarity between classes using output embedding vectors, which are vector representations of classes. Our method deviates from the other supervised binary encoding schemes as it is the first to use output embeddings for learning hashing functions. We also introduce new performance …