7 citations · 8 across the 4 of their papers we have counts for
4 papers
QANA: LLM-based Question Generation and Network Analysis for Zero-shot Key Point Analysis and Beyond
Tomoki Fukuma, Koki Noda, Toshihide Ubukata Kousuke Hoso +4
The proliferation of social media has led to information overload and increased interest in opinion mining. We propose "Question-Answering Network Analysis" (QANA), a novel opinion…
Investigating Quantitative-Qualitative Topical Preference: A Comparative Study of Early and Late Engagers in Japanese ChatGPT Conversations
Tomoki Fukuma, Koki Noda, Yuta Yamamoto +5
This study investigates engagement patterns related to OpenAI's ChatGPT on Japanese Twitter, focusing on two distinct user groups - early and late engagers, inspired by the Innovat…
How Many Tweets DoWe Need?: Efficient Mining of Short-Term Polarized Topics on Twitter: A Case Study From Japan
Tomoki Fukuma, Koki Noda, Hiroki Kumagai +5
In recent years, social media has been criticized for yielding polarization. Identifying emerging disagreements and growing polarization is important for journalists to create aler…
Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs
Seiji Maekawa, Koki Noda, Yuya Sasaki +1
Graph Neural Networks (GNNs) have achieved great success on a node classification task. Despite the broad interest in developing and evaluating GNNs, they have been assessed with l…