Social media is a popular platform for sharing experiences on products through text and video. The sheer volume of these reviews makes data cleaning and analysis challenging. Allowing artificial intelligence on social media such as face recognition has resulted in big fines. I am working on an algorithm that can summarise millions of videos in a fraction of a second without the need for manual labelling. As we know that the context of a word changes with the product type. Hence, an approach for domain adaptation is needed so that we don’t need to retrain the model.

PhD students interested in different areas of artificial intelligence may send me their resumes. For international students, the scholarship requires that you must be fluent in English and have a first-author ERA journal or conference paper. For domestic students, a good GPA in your bachelors might be sufficient.

  • CP1403: Design Thinking I (Level 1; TSV)
  • CP1407: Introductory Machine Learning and Data Science (Level 1; TSV)
  • CP2405: Collective Intelligence and Entrepreneurship (Level 2; CNS & TSV)
  • CP3413: Information Processing and Visualisation (Level 3; CNS & TSV)
  • CP5635: Collective Intelligence and Entrepreneurship (Level 5; CNS & TSV)
  • CP5641: Design Thinking Principles (Level 5; TSV)
  • 2014 to 2019 - Research Fellow, Nanyang Technological University (Singapore)
  • 2020 to 2021 - Early career researcher JCU CSE
  • 2018 to 2021 - Author Rank 8 Artificial Intelligence Citations per publication
  • 2008 to 2012 - Nanyang Technological University PhD Scholarship
  • 1998 to 2002 - NUS Singapore Airlines Engineering scholarship
  • 2023 - Associate editor for Expert Systems journal
  • 2022 - EMNLP Conference Area Chair
  • 2021 - Associate editor for Transactions in Affective Computing journal
  • 2020 - ARC Assessor
  • 2019 - Senior PC member for IJCNN conference.
  • 2020 - High number of clones from my GitHub Repository

These are the most recent publications associated with this author. To see a detailed profile of all publications stored at JCU, visit ResearchOnline@JCU. Hover over Altmetrics badges to see social impact.

Journal Articles
Conference Papers
  • Chen Q, Ragusa E, Chaturvedi I, Cambria E and Zunino R (2023) Text-Image Sentiment Analysis. Lecture Notes in Computer Science. In: CICLing 2018: 19th International Conference on Computational Linguistics and Intelligent Text Processing, 18–24 March 2018, Hanoi, Vietnam
  • Chaturvedi I, Ragusa E, Gastaldo P and Cambria E (2020) COAL: convolutional online adaptation learning for opinion mining. International Conference on Data Mining. In: ICDMW 2020: International Conference on Data Mining, 17-20 November 2021, Sorrento, Italy
  • Chaturvedi I and Xiang J (2020) Constrained manifold learning for videos. Proceedings of the IEEE International Joint Conference on Neural Networks. In: IJCNN 2020: IEEE International Joint Conference on Neural Networks, 19-24 July 2020, Glasgow, UK
  • Chaturvedi I, Cambria E, Cavallari S and Welsch R (2020) Genetic programming for domain adaptation in product reviews. Proceedings of the IEEE Congress on Evolutionary Computation. In: CEC 2020: IEEE Congress on Evolutionary Computation, 19-24 July 2020, Glasgow, UK

ResearchOnline@JCU stores 32+ research outputs authored by Dr Iti Chaturvedi from 2015 onwards.


The map shows research collaborations by institution from the past 7 years.
Note: Map points are indicative of the countries or states that institutions are associated with.

  • 5+ collaborations
  • 4 collaborations
  • 3 collaborations
  • 2 collaborations
  • 1 collaboration
  • Indicates the Tropics (Torrid Zone)

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  • 17.047, Faculty of Science & Engineering (Townsville campus)
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