seabet app download title: Text Representation Learning for seabet app download (seabet app download forecast based on text representation learning)
seabet app download time:2019Year10month29Sunday afternoon3：00
Reporting location:Computer Building of Central South University HeadquartersConference Room 308
Reporter: Dr. Duan Junwen
seabet app download Summary:
News reports and text content in social media have proved to directly or indirectly affect financial market volatility. Artificial intelligence seabet app download has been widely used in the business decision-making system and effectively improves enterprise productivity, efficiency, etc. However, for the task of artificial intelligence-driven financial market prediction driven, on the one hand, it is challenging for existing research to understand the text content fully, on the other hand, the dimension of features extracted is high and very sparse. The purpose of this report is to introduce semantic representation learning models based on large-scale texts, to promote the research work of big data-driven financial market prediction. The main contents include the following three aspects: 1) Target-dependent sentence representation model for market trends prediction; 2) target-dependent document representation model for market trends prediction; 3) interpretable text-based prediction model, which quantifies the impact of text features on the market.
News reports and textual content in social media have been shown to directly or indirectly affect financial market volatility。Artificial intelligence seabet app download has been widely used in business decision-making systems，And effectively drive corporate production capacity、Improvements in efficiency and other aspects。However, for the artificial intelligence-driven financial market prediction task，On the one hand, it is difficult for existing research to fully understand the text content，On the other hand, the extracted features have higher dimensions and are very sparse。This report aims to introduce semantic representation learning through large-scale text，And then promote the research work on big data-driven financial market forecasts，The main contents include the following three aspects:1) Predictive object-oriented sentence seabet app download method;2）ForecastingThe chapter seabet app download of the objectLearning methods;3）Interpretable seabet app download prediction model; With thisQuantify the impact of learning text features on seabet app download conditions.
About the speaker:
Duan Junwen,2009Graduated from Harbin Institute of seabet app download with a bachelor's degree in engineering;2015Studying for a doctoral degree at the School of Computer Science and seabet app download, Harbin Institute of seabet app download since 2016；2017Year to Year2018Received funding from the China Scholarship Council for joint training at the University of Illinois at Urbana-Champaign，MentorACM Fellow Professor Zhai Chengxiang。His main seabet app download direction is artificial intelligence、Natural Language Processing、Social Computing and Affairs Graph。Currently，He hasPublish relevant academic papers10Remaining articles, includingIEEE ACM TASLP，Science China seabet app download Sciencesand other well-known domestic and foreign journals, andAAAI，IJCAI，EMNLP，COLING, NAACLand other internationally renowned conferences in the field of artificial intelligence。At the same time，He also serves asIEEE Transactions on Big Data, seabet app download Processing & Management，NLPCCReviewer for journals and conferences.
