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Research on the application of artificial intelligence techniques in price forecasting of some commoditiesThe global economy is significantly impacted by changes in the price of primary commodities. As a result, both the academic and professional sectors have paid attention to price predictions for major... Author: Son Nguyen Thai Keyword: Primary Commodities Price Forecasting GMDH ANFIS ANN LSTM
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BiDAF model in sentiment analysis taskSentiment analysis is a critical job in natural language processing. Controlling and evaluating customer feedback on their goods is a task that companies are especially interested in. For reading... Author: Huế Lương Thị Minh Keyword: Natural language processing; LSTM; deep learning; machine learning; BiDAF.
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Sentence representation using LSTM for finding questionLearning sentence representation with the full semantics of a document is a challenge in natural language processing problems because if the semantic representation vector of the sentence is suitable,... Author: Linh Dinh Khanh, Huy Tran Quang Keyword: LSTM NLPDeep learning QACQA learning sentence representation
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Applying artificial intelligence to enhance the quality of automated forex trading systemsTrend-following trading is a popular strategy in automated forex trading. This approach achieves high profitability and success rates in trending markets. However, this strategy per-forms poorly in... Author: Mai Hoan Van Keyword: Expert Advisor System RNN LSTM Time Series Forex Strategy
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Developing a product rating prediction model based on customer text feedback using machine learning algorithmsThis study focuses on predicting product rating scores from customer text feedback. This task combines the challenges of natural language processing (NLP) with the class imbalance phenomenon commonly... Author: Ha Dien Thi Hong Keyword: Product rating prediction customer text feedback natural language processing (NLP) machine learning models model performance evaluation
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