Exploratory Model Analysis Using Data-Driven Neuron Representations

Probing classifiers have been extensively used to inspect whether a model component captures specific linguistic phenomena. This top-down approach is, however, costly when we have no probable hypothesis on the association between the target model component and phenomena. In this study, aiming to provide a flexible, exploratory analysis of a neural model at various levels …

Analyzing Political Polarization on Microblogs with Social Network Segregation and Users’ Political Leanings

 Political polarization on microblogs has been studied in terms of the user interaction between partisans and across partisan lines, such as echo chamber effects and the cross-ideological information diffusion.Although previous studies imply that politically neutral users might mediate the discussions, it has not been examined how the overall cross-ideological interactions are taken place by politically …

Diachronic Analysis of Users’ Stances on COVID-19 Vaccination in Japan using Twitter

To prevent and curb viral outbreaks such as COVID-19, it is important to increase vaccination coverage whileresolving vaccine hesitancy and refusal. To understand why COVID-19 vaccination coverage had rapidly increased in Japan, we analyzed Twitter posts (tweets) to examine the evolution of people’s stance on vaccination and clarify the factors of why people decide to …

Research Subject 3:Analyzing and Visualizing Human Society Interaction

Toyoda Group The emergence of a large and comprehensive data on cities and SNSs allows people to expand their horizon. Our goal is to develop methods for decision making based on information analysis and visualization of the large-scale data, and fundamental technologies for personalized information presentation. We develop information analysis and visualization methods through several …

Personal Semantic Variations in Word Meanings

When people verbalize what they have felt with different sensory functions, they often represent different meanings such as with temperature range using the same word cold or the same meaning by using different words (e.g., hazy and cloudy). These interpersonal variations in word meanings have the effects of not only preventing people from communicating efficiently …