A Study of Patent Analysis for Stock Price Prediction

Wu, Siqi; Tsao, Cheng-Chin; Chang, Pei‐Chann; Fan, Chin-Yuan; Chen, Menghui; Zhang, Xiao

doi:10.1109/icisce.2017.34

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2019

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“…The use of natural language processing (NLP) approaches have been investigated as another interesting way to incorporate natural language text such as SEC filings [9], patents [10] or financial news [11].…”

Section: Natural Language Processing Approachesmentioning

confidence: 99%

Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window Analysis

Matsunaga,

Suzumura,

Takahashi

2019

Preprint

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Recently, there has been a surge of interest in the use of machine learning to help aid in the accurate predictions of financial markets. Despite the exciting advances in this cross-section of finance and AI, many of the current approaches are limited to using technical analysis to capture historical trends of each stock price and thus limited to certain experimental setups to obtain good prediction results. On * Equal contribution.

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Section: Natural Language Processing Approachesmentioning

confidence: 99%