[3M5-GS-10] AI application

[3M5-GS-10-03] Predicting the Establishment of Buzzwords by Machine Learning Using Word Usage Trends on Twitter

〇Hayato Nishio¹, Atsuko Mutou¹, Kosuke Shima¹, Koichi Moriyama¹, Tohgoroh Matsui², Azusa Yokogoshi¹, Eiko Yoshida¹, Nobuhiro Inuzuka¹ (1. Nagoya Institute of Technology, 2. Chubu University)

Keywords:Buzzword, Social media, time series forecasting

Although there are various studies on buzzwords, none of them quantitatively define a word's popularity and are insufficient for analyzing trends. This paper defines the trend and fixation of words on Twitter and uses machine learning to predict the duration of the word's trend based on the definition. First, a threshold is set for the number of times a word is used within a certain period of time to define its trendy state. Next, we used multiple machine learning methods to predict whether a word would be in vogue after a certain period of time, based on the changes in the number of times the word was used. We confirmed that it is possible to predict the trend of the word with a high degree of accuracy. Finally, we quantified the importance of each feature of the model and discussed the conditions for a prolonged trend.