Sentiment Barometer in Financial News

Reference : Sentiment Barometer in Financial News


	Document type :	Reports : Internal report
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/20930

Title :	Sentiment Barometer in Financial News
Language :	English
Author, co-author :	Schommer, Christoph [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Publication date :	Feb-2014
Edition :	-
Publisher :	Internal Report
Collection and collection volume :	Summary of the course reports "Machine Learning", MICS Master Course, 3rd semester
Number of pages :	105
ISBN :	-
City :	Luxembourg
Country :	Luxembourg
Keywords :	[en] Sentiment Analysis ; Financial News ; Machine Learning
Abstract :	[en] This booklet is a collection of project reports written by graduate students, who have participated the course "Machine Learning" in Winter Term 2013/14. Here, we have concerned Financial News Documents regarding the Irish Financial Crisis in the years of 2009 - 2013. We have studied different forms of sentiments, for example with StoryTakes, Alerts, Headlines, authors, and others.
Research centres :	ILIAS Lab
Name of the research project :	ESCAPE
Target :	Researchers ; Students
Permalink :	http://hdl.handle.net/10993/20930

File(s) associated to this reference

Fulltext file(s):

	File	Commentary	Version	Size	Access
Open access	SentimentBarometerInFinancialNews.pdf		Publisher postprint	3.8 MB	View/Open

All documents in ORBi^lu are protected by a user license.