Paper Info
Title
News Sentiment Impact Analysis (NSIA) Framework.
Abstract
News analysis activities have been the focus of many research studies across various life domains. So often, the goal of these studies is to automatically, analyze the meaning of news, and to gauge their impact on a particular domain. In this paper, we focus on studying sentiment analysis impact, on financial markets. Current studies, lack systematic approaches to evaluate the impact of a given sentiment dataset, in different financial contexts. We introduce a framework that encompasses models, processes, and a supporting software architecture for defining different financial contexts and conducting sentiment data-sets evaluation. The paper, describes a prototype implementation of the framework and a case study, which investigates the efficacy of the framework in evaluating the impact of a particular news sentiment dataset. The results demonstrate the capability of the framework in bridging the gap between producing a sentiment dataset and evaluating its impact in various financial contexts.
Year
DOI
Venue
2016
10.1007/978-3-319-52764-2_1
Lecture Notes in Business Information Processing
Field
DocType
Volume
Data science,Sentiment analysis,Computer science,Bridging (networking),News analytics,Software architecture,Financial market
Conference
276
ISSN
Citations 
PageRank 
1865-1348
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Islam Qudah100.68
Fethi Rabhi242750.68