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FinancialNewsData-BigData2018

The 2nd International Workshop on Big Data for Financial News and Data 2018

Seattle, United States
11 - 13 December 2018
The conference ended on 13 December 2018

Important Dates

Abstract Submission Deadline
21st October 2018
Final Abstract / Full Paper Deadline
21st October 2018

About FinancialNewsData-BigData2018

The goal of this workshop is to bring together researchers and industry practitioners working on big data mining and financial related data to share their ideas and best practices. It will feature paper presentations and invited talks or panel discussion on topics and research directions on big data for financial industry. Papers about original and ongoing research and those that describe systems and practices are welcome. Workshop Links: https://intelligentfinance.github.io/2018IEEE-BigData-Workshop/index.html The Workshop will be co-located with 2018 IEEE International Conference on Big Data (Big Data 2018) December 10-13, 2018 Seattle, WA, USA. http://cci.drexel.edu/bigdata/bigdata2018/

Topics

Natural language processing, Data analytics for big data, Statistical analysis of financial data, Ai and machine learning business applications

Call for Papers

It is widely recognized that news, as well as social media and other types of data, play a key role in financial markets. With the rapid growth of financial data sources and volume, nowadays, few fields generate as many data as the financial industry. Big data is fueling a transformation of finance and the world of business in yet unpredictable ways. This poses many challenges to us. For example, we need to fuse different kinds of data, from quite distinct sources, and with different degrees of reliability. We also need to transform unstructured data into structured intelligence to enable high end analytics. In this process, many issues need to be addressed by applying big data, machine learning and NLP technologies, such as automatic data collection, entity extraction, classification, clustering, search, filtering, sentiment analysis, event novelty detection, news relevance/significance identification, modeling and aggregation. To make informed decision making, ideally, these modules and information also need to be connected to financial analytics models for trading, investment management, asset pricing and risk control.  

Deep learning and cognitive computing have shown to be promising; we are also interested in their applications in financial domain.  

The goal of this workshop is to bring together researchers and industry practitioners working on big data mining and financial related data to share their ideas and best practices. It will feature paper presentations and invited talks or panel discussion on topics and research directions on big data for financial industry. Papers about original and ongoing research and those that describe systems and practices are welcome.  

The Workshop will be co-located with 2018 IEEE International Conference on Big Data (Big Data 2018) , December 10-13, 2018  Seattle, WA, USA.  http://cci.drexel.edu/bigdata/bigdata2018/

We invite work on all aspects of financial news and data analysis. This includes (but is not limited to) the following topics: 

  • Financial data collection, entity extraction, relation extraction, classification, clustering, novelty detection, event detection, filtering, aggregation, etc.
  • Social media data analysis
  • News event impact and market sentiment
  • Sentiment analysis, opinion mining
  • Stock/market prediction
  • News and social data in algorithm trading; quantitative news trading
  • Question answering system in financial domain
  • Cognitive computing in finance
  • Deep learning for financial data
  • Semantics, knowledge base and ontology
  • System design and architecture of financial data workflow
  • Big data in finance: challenge, practice and technologies
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