28.4077, Calls: Cognitive Science, Computational Linguistics/USA

[The LINGUIST List]

LINGUIST List: Vol-28-4077. Wed Oct 04 2017. ISSN: 1069 - 4875.

Subject: 28.4077, Calls: Cognitive Science, Computational Linguistics/USA

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Date: Wed, 04 Oct 2017 15:02:46
From: Quanzhi Li [quanzhi.li at gmail.com]
Subject: International Workshop on Big Data for Financial News and Data

 
Full Title: International Workshop on Big Data for Financial News and Data 

Date: 11-Dec-2017 - 14-Dec-2017
Location: Boston, MA, USA 
Contact Person: Quanzhi Li
Meeting Email: quanzhi.li at gmail.com
Web Site: https://intelligentfinance.github.io/index.html 

Linguistic Field(s): Cognitive Science; Computational Linguistics 

Call Deadline: 22-Oct-2017 

Meeting Description:

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 Workshop will be co-located with 2017 IEEE International Conference on Big
Data (Big Data 2017) 
December 11-14, 2017 
Boston, MA, USA.


Call for Papers:

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. 

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

Please submit a full paper (up to 10 page IEEE 2-column format) or short paper
(up to 5 page IEEE 2-column format) through the online submission system.

Papers should be formatted to IEEE Computer Society Proceedings Manuscript
Formatting Guidelines (see link to ''formatting instructions'' below).

Formatting Instructions
8.5'' x 11'' 

Doc: ftp://pubftp.computer.org/press/outgoing/proceedings/instruct8.5x11x2.doc
PDF: ftp://pubftp.computer.org/press/outgoing/proceedings/instruct8.5x11x2.pdf

LaTex Formatting Macros
(ftp://pubftp.computer.org/Press/Outgoing/proceedings/IEEE_CS_Latex8.5x11x2.zi
p)

Submission Site:

https://wi-lab.com/cyberchair/2017/bigdata17/scripts/submit.php?subarea=S40&un
display_detail=1&wh=/cyberchair/2017/bigdata17/scripts/ws_submit.php

Please submit your paper as a PDF file.




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