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Relevant bibliographies by topics / Asian conversation dataset

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Academic literature on the topic 'Asian conversation dataset'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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Journal articles on the topic "Asian conversation dataset"

1

Suryani, Dewi, Valentino Ekaputra, and Andry Chowanda. "Multi-modal Asian Conversation Mobile Video Dataset for Recognition Task." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 5 (2018): 4042. http://dx.doi.org/10.11591/ijece.v8i5.pp4042-4046.

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Images, audio, and videos have been used by researchers for a long time to develop several tasks regarding human facial recognition and emotion detection. Most of the available datasets usually focus on either static expression, a short video of changing emotion from neutral to peak emotion, or difference in sounds to detect the current emotion of a person. Moreover, the common datasets were collected and processed in the United States (US) or Europe, and only several datasets were originated from Asia. In this paper, we present our effort to create a unique dataset that can fill in the gap by

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2

Dewi, Suryani, Ekaputra Valentino, and Chowanda Andry. "Multi-modal Asian Conversation Mobile Video Dataset for Recognition Task." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 5 (2018): 4042–46. https://doi.org/10.11591/ijece.v8i5.pp4042-4046.

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Abstract:

Images, audio, and videos have been used by researchers for a long time to develop several tasks regarding human facial recognition and emotion detection. Most of the available datasets usually focus on either static expression, a short video of changing emotion from neutral to peak emotion, or difference in sounds to detect the current emotion of a person. Moreover, the common datasets were collected and processed in the United States (US) or Europe, and only several datasets were originated from Asia. In this paper, we present our effort to create a unique dataset that can fill in the gap by

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3

Pratidina, Indah S. "Online Perspectives on ASEAN-Japan Relations: An Analysis of ASEAN-related Japanese Tweets." IKAT : The Indonesian Journal of Southeast Asian Studies 2, no. 1 (2018): 67. http://dx.doi.org/10.22146/ikat.v2i1.37393.

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ASEAN targets internal integration and strong external relations with its partner countries. Japan has stressed its long-standing support for ASEAN. The year 2013 saw the 40th anniversary of Japan-ASEAN relations when Japanese state actors put considerable efforts into marking this anniversary. Although Japan remains one of ASEAN's largest trading partners and sources of foreign direct investment, recent years has witnessed power relations dynamic in the region with China and South Korea actively engaging as well. State actors’ statements and mainstream media coverage on ASEAN-Japan relations,

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4

Felmlee, Diane H., Chris Julien, and Sara C. Francisco. "Debating stereotypes: Online reactions to the vice-presidential debate of 2020." PLOS ONE 18, no. 1 (2023): e0280828. http://dx.doi.org/10.1371/journal.pone.0280828.

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The 2020 Vice-Presidential debate afforded the opportunity to examine online reactions toward a woman of color, Kamala Harris, and a white man, Mike Pence, as they vied for the same position. We collected tweets from the Twitter API related to Harris and Pence, mainly using neutral hashtags. We examined keywords for gender and race slurs and conducted a multivariate analysis of tweet sentiment. Gender and racial slurs surface in both Harris and Pence datasets, showcasing the insidious nature of sexist and racist stereotypes that seep into online conversations regarding a high-status job debate

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5

Ganta, Teja, Arash Kia, Prathamesh Parchure, et al. "Fairness in Predicting Cancer Mortality Across Racial Subgroups." JAMA Network Open 7, no. 7 (2024): e2421290. http://dx.doi.org/10.1001/jamanetworkopen.2024.21290.

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ImportanceMachine learning has potential to transform cancer care by helping clinicians prioritize patients for serious illness conversations. However, models need to be evaluated for unequal performance across racial groups (ie, racial bias) so that existing racial disparities are not exacerbated.ObjectiveTo evaluate whether racial bias exists in a predictive machine learning model that identifies 180-day cancer mortality risk among patients with solid malignant tumors.Design, Setting, and ParticipantsIn this cohort study, a machine learning model to predict cancer mortality for patients aged

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6

Mughal, Shafaq Fatima, Shayan Aamir, Abdul Samad, Umema Zehra, and Ayesha Asif Syed. "Mai: A Transformer Based Domain Specific Chatbot for Menstrual Health." ACM Journal on Responsible Computing, January 17, 2025. https://doi.org/10.1145/3711711.

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Traditional health-seeking behaviors, particularly in menstrual health, are deeply rooted in local languages, sociocultural norms, and religious beliefs. These factors significantly influence women in South Asia and other developing regions, often proving detrimental to their physical and psychological health. Recognizing the multifaceted nature of these challenges, this paper investigates the role of generative domain-specific chatbots as a supportive mechanism to enhance menstrual health-seeking behaviors among South Asian women. Specifically, it aims to create and assess Mai, a conversation

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7

Pratidina, Indah Santi. "ONLINE PERSPECTIVES ON ASEAN-JAPAN RELATIONS: Study of ASEAN-related Japanese Tweets." IKAT: The Indonesian Journal of Southeast Asian Studies 2, no. 1 (2019). http://dx.doi.org/10.22146/ikat.v2i1.35136.

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ASEAN targets internal integration and strong external relations with its partner countries. Japan has stressed its long-standing support for ASEAN. The year 2013 saw the 40th anniversary of Japan-ASEAN relations when Japanese state actors put considerable efforts into marking this anniversary. Although Japan remains one of ASEAN's largest trading partners and sources of foreign direct investment, recent years has witnessed power relations dynamic in the region with China and South Korea actively engaging as well. State actors’ statements on ASEAN-Japan relations had been the heavy focus of sc

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8

Prasetya, Hardi, Zakarias Situmorang, and Rika Rosnelly. "SVM Optimization with Kernel Function for Sentiment Analysis on Social Media twitter (X) in AFC U23 Asian Cup Case Study." Proceeding of International Conference on Science and Technology UISU, December 15, 2024, 227–33. https://doi.org/10.30743/wjxmmr59.

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This study aims to optimize the performance of the Support Vector Machine (SVM) in sentiment analysis on social media by using various kernel functions, namely linear, polynomial, and Radial Basis Function (RBF). The case study taken was a conversation related to the AFC Asian Cup U-23 taken from social media platforms. The data used in this study included three classes of sentiment: positive, neutral, and negative. The experimental results show that the linear kernel achieves the highest accuracy of 93.55% with an F1-score of 0.9296. The RBF kernel shows almost comparable performance with an

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Conference papers on the topic "Asian conversation dataset"

1

He, Jiarong. "A Multimodal Approach for Emotion Recognition in Conversations Using the MELD Dataset." In 2025 Asia-Europe Conference on Cybersecurity, Internet of Things and Soft Computing (CITSC). IEEE, 2025. https://doi.org/10.1109/citsc64390.2025.00016.

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Tao, Yuyang, Yuru Jiang, Mengyuan Li, and Yangsen Zhang. "ChatVQG: A VQG Dataset Containing Diversified Conversational Questions and Guiding Information for Proactive Chatting with the Elderly." In 2023 International Conference on Asian Language Processing (IALP). IEEE, 2023. http://dx.doi.org/10.1109/ialp61005.2023.10337089.

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Ruan, Yu-Ping, Shu-Kai Zheng, Jiantao Huang, Xiaoning Zhang, Yulong Liu, and Taihao Li. "CH-MEAD: A Chinese Multimodal Conversational Emotion Analysis Dataset with Fine-Grained Emotion Taxonomy." In 2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). IEEE, 2023. http://dx.doi.org/10.1109/apsipaasc58517.2023.10317512.

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