Abstract
Online reviews such as posts on financial micro-blogs are useful for decision making in the investment. However, to read all the posts should not be practical because the volume of the posts is sometimes very large. In this paper, we develop a novel word cloud based framework for visualizing online reviews. Using the LRP method, we visualize the online reviews in the form that we can visually catch-up the sentiments of reviews in cluster units. Images generated from the proposed framework in this paper should be useful in decision making in the investment.
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This work was supported in part by JSPS KAKENHI Grant Number JP17J04768.
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Ito, T., Tsubouchi, K., Sakaji, H., Yamashita, T., Izumi, K. (2020). Concept Cloud-Based Sentiment Visualization for Financial Reviews. In: Bucciarelli, E., Chen, SH., Corchado, J. (eds) Decision Economics: Complexity of Decisions and Decisions for Complexity. DECON 2019. Advances in Intelligent Systems and Computing, vol 1009. Springer, Cham. https://doi.org/10.1007/978-3-030-38227-8_21
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