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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This work is partially supported by MEXT, Japan.
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Seki, K. (2017). Financial Sentiment Orientation of Word Combinations. In: Ciancarini, P., et al. Knowledge Engineering and Knowledge Management. EKAW 2016. Lecture Notes in Computer Science(), vol 10180. Springer, Cham. https://doi.org/10.1007/978-3-319-58694-6_26
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DOI: https://doi.org/10.1007/978-3-319-58694-6_26
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Publisher Name: Springer, Cham
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Online ISBN: 978-3-319-58694-6
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