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Using Structured Events to Predict Stock Price Movement: An Empirical Investigation
Xiao Ding
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Yue Zhang
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Ting Liu
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Junwen Duan
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Paper Details:
Month: October
Year: 2014
Location: Doha, Qatar
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Knowledge-Driven Event Embedding for Stock Prediction
Xiao Ding
|
Yue Zhang
|
Ting Liu
|
Junwen Duan
|
Learning Target-Specific Representations of Financial News Documents For Cumulative Abnormal Return Prediction
Junwen Duan
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Yue Zhang
|
Xiao Ding
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Ching-Yun Chang
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Ting Liu
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Leverage Financial News to Predict Stock Price Movements Using Word Embeddings and Deep Neural Networks
Yangtuo Peng
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Hui Jiang
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Learning Sentence Representations over Tree Structures for Target-Dependent Classification
Junwen Duan
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Xiao Ding
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Ting Liu
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Event-Driven Headline Generation
Rui Sun
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Yue Zhang
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Meishan Zhang
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Donghong Ji
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Stock Movement Prediction from Tweets and Historical Prices
Yumo Xu
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Shay B. Cohen
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Improving Topic Quality by Promoting Named Entities in Topic Modeling
Katsiaryna Krasnashchok
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Salim Jouili
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Stock Market Prediction with Deep Learning: A Character-based Neural Language Model for Event-based Trading
Leonardo dos Santos Pinheiro
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Mark Dras
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Unsupervised Word Influencer Networks from News Streams
Ananth Balashankar
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Sunandan Chakraborty
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Lakshminarayanan Subramanian
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http://www.reuters.com/
http://www.bloomberg.com/
http://money.cnn.com/magazines/fortune/fortune500/
http://ir.hit.edu.cn/xding/data
Field Of Study
Task
Morphological Analysis
Information Extraction
Sentiment Analysis
Language
Chinese
Dataset
News
Twitter
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