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Amazon Product Search & Review Summarization
An evaluated NLP search system spanning 104,259 products and 300,000 customer reviews.
BiLSTM Stock Forecasting & Dynamic Trading Strategy
IEEE-published time-series research across 11 stocks, 8 sectors, and four rebalancing windows.
ChatGPT vs. DeepSeek User Sentiment & Product Strategy
A multi-source analysis of approximately 843,000 public social-media and app-review records.
publications
Enhancing Stock Price Forecasting and Trading Strategy through Bidirectional LSTM Integration
Published in 2024 5th International Conference on Machine Learning and Human-Computer Interaction (MLHMI), 2024
This paper proposes a Bidirectional LSTM (Bi-LSTM) architecture for time-series stock price prediction, demonstrating superior accuracy over standard LSTM and a trading strategy that outperforms a buy-and-hold baseline.
Recommended citation: Jiayi Liu, Yufeng Yang, Teng Lin, Chuanhui Peng, and Yancong Deng. (2024). "Enhancing Stock Price Forecasting and Trading Strategy through Bidirectional LSTM Integration." 2024 5th International Conference on Machine Learning and Human-Computer Interaction (MLHMI), pp. 22–25. DOI: 10.1109/MLHMI63000.2024.00013
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