Detecting Negation Scopes for Financial News Sentiment Using Reinforcement Learning

Applying natural language processing to the domain of financial news requires robust methods that process all sentences correctly, including those that are negated. So far, related research commonly utilizes rule-based algorithms to detect negated sentence fragments, named negation scopes. Nonethele...

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Bibliographic Details

Published in:	2016 49th Hawaii International Conference on System Sciences (HICSS) pp. 1164 - 1173
Main Authors:	Prollochs, Nicolas, Feuerriegel, Stefan, Neumann, Dirk
Format:	Conference Proceeding Journal Article
Language:	English
Published:	IEEE 01.01.2016
Subjects:	Conferences Flexible structures Hidden Markov models Learning Learning (artificial intelligence) Manuals Natural language processing News Pragmatics Raw materials Reinforcement Sentences Sentiment analysis Stock markets
ISSN:	1530-1605, 1530-1605
Online Access:	Get full text
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