Essays about: "bidirectional-long short term memory"
Showing result 6 - 10 of 12 essays containing the words bidirectional-long short term memory.
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6. Extracting Adverse Drug Reactions from Product Labels using Deep Learning and Natural Language Processing
University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Abstract : Pharamacovigilance relates to activities involving drug safety monitoring in the post-marketing phase of the drug development life-cycle. Despite rigorous trials and experiments that drugs undergo before they are available in the market, they can still cause previously unobserved side-effects (also known as adverse events) due to drug–drug interaction, genetic, physiological or demographic reasons. READ MORE
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7. Energy Predictions of Multiple Buildings using Bi-directional Long short-term Memory
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : The process of energy consumption and monitoring of a buildingis time-consuming. Therefore, an feasible approach for using trans-fer learning is presented to decrease the necessary time to extract re-quired large dataset. The technique applies a bidirectional long shortterm memory recurrent neural network using sequence to sequenceprediction. READ MORE
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8. Machine Learning explainability in text classification for Fake News detection
University essay from Malmö universitet/Fakulteten för teknik och samhälle (TS)Abstract : Fake news detection gained an interest in recent years. This made researchers try to findmodels that can classify text in the direction of fake news detection. While new modelsare developed, researchers mostly focus on the accuracy of a model. READ MORE
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9. Emotion Classification with Natural Language Processing (Comparing BERT and Bi-Directional LSTM models for use with Twitter conversations)
University essay from Lunds universitet/Matematisk statistikAbstract : We have constructed a novel neural network architecture called CWE-LSTM (concatenated word-emoji bidirectional long short-term memory) for classify- ing emotions in Twitter conversations. The architecture is based on a combina- tion of word and emoji embeddings with domain specificity in Twitter data. READ MORE
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10. Sequence Models for Speech and Music Detection in Radio Broadcast
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Speech and Music detection is an important meta-data extraction step for radio broadcasters. It provides them with a good time-stamping of the audio, including parts where speech and music overlap. This task has important applications in royalty collection in broadcast audio for instance, which is the use case for this particular study. READ MORE
