Sentiment Analysis on Inflation after COVID-19

نویسندگان

چکیده

We implement traditional machine learning and deep methods for global tweets from 2017-2022 to build a high-frequency measure of the public's sentiment index on inflation analyze its correlation with other online data sources such as google trend market-oriented index. use manually labeled trigrams test prediction performance several models(logistic regression,random forest etc.) choose Bert model final demonstration. Later, we sum daily tweets' scores gained obtain predicted index, further regional pre/post covid patterns these indexes. Lastly, take empirical inflation-related references prove that twitter-based analysis method has an outstanding capability predict inflation. The results suggest Twitter combined can be novel timely utilize existing abundant expectations provide indicators consumers' perception

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ژورنال

عنوان ژورنال: Applied Economics and Finance

سال: 2022

ISSN: ['2332-7294', '2332-7308']

DOI: https://doi.org/10.11114/aef.v10i1.5821