Effect of Leader's Voice on Financial Market: An Empirical Deep Learning Expedition on NASDAQ, NSE, and Beyond
By Arijit Das, Tanmoy Nandi, Prasanta Saha, Suman Das, Saronyo Mukherjee, Sudip Kumar Naskar, Diganta Saha
Rating
1143
Battle Count: 391
Relevance
8/10
The model shows potential for improving stock price prediction by incorporating social media sentiment, which could be valuable for quantitative trading strategies.
Implementation Complexity
7/10
The model involves complex deep learning architectures and requires processing of both financial and textual data, which may be challenging to implement.
Reproducibility
3/5
The paper provides detailed methodology and algorithm segments, but lacks specific implementation details and hyperparameters for full reproducibility.
About this paper
Methodology: BiL-BERT. Problem types: Time Series Forecasting, Natural Language Processing.
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