Elvis Saravia bio photo

Elvis Saravia

Researcher in Machine Learning and Natural Language Processing | Affective Computing | Editor

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About Me

Research Statement

Design, develop, and evaluate natural language processing (NLP) and machine learning algorithms and models for exploring and understanding human behaviors from natural language such as mental disorders, intent, and emotions. Currently, as part of my dissertation, I am building an unified framework for text-based affective computing that makes use of multimodal representations to represent different aspects of emotional communication. The main research topics include but are not limited to emotion recognition, sentiment analysis, intent discovery, mental disorder detection, music analysis, and computational health. As future work, I aim to integrate affective computing into artificial intelligence (AI) and NLP technologies such as personal assistants, recommendation systems, and conversational agents.

Education

  • Information Systems and Applications (PhD Candidate, 2015-2019) - National Tsing Hua University, Hsinchu, Taiwan
  • Masters Degree in Information Systems and Applications (2013-2015) - National Tsing Hua University, Hsinchu, Taiwan
  • Bachelor’s in Information Technology (2004-2008) - University of Belize, Belmopan, Belize

Research Interests

  • Natural Language Processing
  • Deep Learning
  • Affective Computing (Sentiment Analysis & Emotion Recognition)
  • Machine Learning
  • Social Network Analysis and Mining
  • Computational Health
  • News and Events Analysis
  • Intent Identification
  • Data Analytics & Visualization

Research Profiles

Publications and Research

  • Elvis Saravia, Hsien-Chi Toby Liu, Yen-Hao Huang, Junlin Wu and Yi-Shin Chen, CARER: Contextualized Affect Representations for Emotion Recognition, In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP2018), Belgium. Long paper accepted as oral presentation. (Paper, Slides)

  • Elvis Saravia, Hsien-Chi Toby Liu, Yi-Shin Chen, DeepEmo: Learning and Enriching Pattern-Based Emotion Representations arXiv:1804.08847, 2018.

  • Elvis Saravia, Adam Liu, Yi-Shin Chen, Clustering Social News based on User Affection, Conference on Technologies and Applications of Artificial Intelligence, TAAI, 2017, Taipei. (Paper)

  • Elvis Saravia, Yi-Shin Chen, Emotion Recognition: Towards Deep Learning and Deep Information Retrieval Models, Conference on Technologies and Applications of Artificial Intelligence, TAAI, 2017, Taipei. (PhD Symposium)

  • Kuan-Ting Chen, Toby Liu, Elvis Saravia, and Yi-Shin Chen, Automatic Beatmaps Generation for Electroacoustic Songs in Rhythm Games: an Audio Data-driven Approach, In Proceedings of Electroacoustic Music Studies Network (EMS2017), 2017, Japan. (Abstract)

  • Elvis Saravia, Shao-Chen Wu, and Yi-Shin Chen. A Dynamic Influence Keyword Model for Identifying Implicit User Interests on Social Networks, 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2017), Sydney, Australia. (Paper)

  • Elvis Saravia, Carlos Argueta, Yi-Shin Chen, Unsupervised graph-based pattern extraction for multilingual emotion classification, Soc. Netw. Anal. Min. (2016) 6: 92. doi:10.1007/s13278-016-0403-4 :page_facing_up: read

  • Chun-Hao Chang, Elvis Saravia, Yi-Shin Chen, Subconscious Crowdsourcing: A Feasible Data Collection Mechanism for Mental Disorder Detection on Social Media, 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2016), San Fransisco, CA, USA. (Paper)

  • Elvis Saravia, Chun-Hao Chang, Renaud Jollet De Lorenzo, and Yi-Shin Chen, MIDAS: Mental Illness Detection and Analysis via Social Media, 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2016), San Fransisco, CA, USA. (Paper)

  • Carlos Argueta, Elvis Saravia, and Yi-Shin Chen, Unsupervised Graph-Based Patterns Extraction for Emotion Classification, 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2015, Acceptance Rate:18%), Paris, France - :page_facing_up: read

  • Elvis Saravia, Carlos Argueta, Yi-Shin Chen, EmoViz: Mining the World’s Interest through Emotion Analysis, 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2015), Paris, France - :page_facing_up: read

  • Elvis Saravia, Yi-Shin Chen, Inferring User Interests from Microblog Data through Opinion Mining, National Tsing Hua University, 2015, Taiwan. (Master Thesis). Please request via email (:envelope: ellfae@gmail.com)

  • Yi-Shin Chen, Yi-Cheng Peng, Jheng-He Liang, Elvis Saravia, Fernando Calderon, Chung-Hao Chang, Ya-Ting Chuang, Tzu-Lung Chen, and Elizabeth Kwan. Concept-based event identification from social streams using evolving social graph sequences. Social Network Analysis and Mining 5, no. 1 (2015): 1-16. - :page_facing_up: read

Certificates

  • Neural Networks and Deep Learning by Andrew Ng, Deeplearning.ai, October 2017 - Link
  • Coursera Mentor Community and Training Course by Coursera Community Team on Coursera, July 2016 – Link
  • Machine Learning Foundations: A Case Study Approach - University of Washington, 2016 – Link
  • Test of Chinese as a Foreign Language’s Listening and Reading Comprehension, 2014 – Link
  • Intense Mandarin Course, NTHU, 2014 – Link
  • Former Presiding Officer @ Belize General Elections, 2012
  • Basic Security Management Course, Taiwan-ICDF, 2012 – Link
  • Audit Login Matrix Workshop, CCAD~FCVI, 2012 – Link
  • Improved Financial Management through Internal Control: A COSO Approach, IDB, 2011 – Link
  • Basic Web Design, Belize National ICT Center, 2011 – Link
  • Performance (Value for Money) Audit Level 2 Workshop, CCAD~FCVI, 2010 – Link
  • Certificate of Excellence (CXC Examinations), 2004 – Link