Forecasting fund-related textual emotion trends on Weibo: A time series study

Forecasting fund-related textual emotion trends on Weibo: A time series study

IntroductionThis paper reports a time series analysis of day-to-day emotional text related to fund investments on Weibo (Sina Corporation, Beijing, China).MethodsThe present study employed web-crawler and text mining techniques through Python to obtain data from January 1, 2021 to December 31, 2021....

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Bibliographic Details
Main Author:	Sha Luo
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2022-12-01
Series:	Frontiers in Communication
Subjects:	emotion analysis forecast model time series web crawler text mining
Online Access:	https://www.frontiersin.org/articles/10.3389/fcomm.2022.970749/full

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