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Modeling, Generating, and Publishing Knowledge as Linked Data Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Financial Sentiment Orientation of Word Combinations

Author : Kazuhiro Seki

Published in: Knowledge Engineering and Knowledge Management

Publisher: Springer International Publishing

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Abstract

This paper presents an ongoing work on sentiment analysis in the financial domain and explores an approach to identifying sentiment orientations of words for a given financial index. The proposed approach takes advantage of the movement of the given financial index and employs an information theoretic measure for estimating sentiment orientation of word combinations in an efficient way. Results on preliminary experiments are reported.

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previous chapter Probabilistic Inductive Logic Programming on the Web
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Literature
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Bollen, J., Mao, H., Zeng, X.: Twitter mood predicts the stock market. J. Comput. Sci. 2(1), 1–8 (2011)CrossRef
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Liu, B.: Sentiment Analysis: Mining Opinions, Sentiments, and Emotions. Cambridge University Press, Cambridge (2015)CrossRef
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Turney, P.D.: Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews. In: Proceedings of the 40th ACL, pp. 417–424 (2002)
Metadata
Title
Financial Sentiment Orientation of Word Combinations
Author
Kazuhiro Seki
Copyright Year
2017
Book
Knowledge Engineering and Knowledge Management

Print ISBN: 978-3-319-58693-9

Electronic ISBN: 978-3-319-58694-6

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-58694-6_26

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