Instruction tuned large language models (LLMs), such as ChatGPT, demonstrate remarkable
performance in a wide range of tasks. Despite numerous recent studies that examine the …

The task of multilingual emotion recognition holds significant importance in cross-cultural
communication and data mining. While prior research has concentrated on enhancing …

In this paper, we present a multimodal dialogue system combining a neural response
generation mechanism, a reranking mechanism, and a rule-based avatar control …

This paper propose a method to predict the stage of buzz-trend generation by analyzing the
emotional information posted on social networking services for multimodal information, such …

We propose a method for personalized emotional intensity estimation based on a writer's
personality test for Japanese SNS posts. Existing emotion analysis models are difficult to …

Various information Diffusion trends can be found on Twitter (now know as X) for TV anime
works, with some works experiencing an increase in the counts of weekly tweeting users …

To reduce the cost of training models for each language for developers of natural language
processing applications, pre-trained multilingual sentence encoders are promising …

This publication introduces novel, open-source resources for sentiment analysis on
Japanese Twitter. BERT for Japanese Twitter is a pre-trained model that is highly competent …

The popularity of video games has been increasing worldwide, with the global video game
market estimated to generate $184.4 billion in revenue in 2022. User review analysis has …

Danmaku commenting has become popular for co-viewing on video-sharing platforms, such
as Nicovideo. However, many irrelevant comments usually contaminate the quality of the …