Amal Htait

Dr Amal Htait

 https://orcid.org/0000-0003-4647-9996

    Accepting PhD Students

    PhD projects

    Possible research topics for PhD supervision include: *Machine learning approaches for Natural Language Processing and extracting information from text. *Automated Mental State Detection in speech and writing linguistics. *Conversational Human-Computer Interaction.

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    Personal profile

    Biography

    I joined Aston University in September 2021 as a Lecturer in Computer Science. After several years in industry as a software engineer, I moved to academia and obtained a Research MSc and a PhD in Computer Science at Aix-Marseille University, France. Following my thesis, I held a research associate position at the University of Strathclyde (2019-2021), where I took part in the EPSRC project Cumulative revelation of Personal Data (https://cumulative-revelations.github.io/revelations/). 

    Research Interests

    My primary research interests lie within AI, more precisely Natural Language Processing, Sentiment Analysis in text, Human Machine Interaction, in addition to Information Retrieval. My thesis had the purpose of pursuing quality improvement for a multilingual Book search platform, benefiting mainly from sentiment analysis in reviews and search queries. After my thesis, my work focused more on analysing what an individual’s online profiles, posts and discussions could reveal about them.

    Education/Academic qualification

    PhD, Sentiment Analysis at the Service of Book Search, Aix-Marseille University

    1 Sept 2015 → 5 Jul 2019

    Award Date: 5 Jul 2019

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    • Early risk detection of self-harm using BERT-based transformers

      Martínez-Castaño, R., Htait, A., Azzopardi, L. & Moshfeghi, Y., 15 Sept 2022, Early Detection of Mental Health Disorders by Social Media Monitoring: The First Five Years of the eRisk Project. Crestani, F., Losada, D. E. & Parapar, J. (eds.). p. 183-206 (Studies in Computational Intelligence; vol. 1018).

      Research output: Chapter in Book/Published conference output › Chapter

    • Making sense of trifles: data narratives and cumulative data disclosure

      Nash, C., Carey, D., Nicol, E., Htait, A., Schafer, B., Briggs, J., Moncur, W. & Azzopardi, L., 26 Feb 2022.

      Research output: Unpublished contribution to conference › Abstract › peer-review

      Open Access

    • Revealing cumulative risks in online personal information: a data narrative study

      Nicol, E., Briggs, J., Moncur, W., Htait, A., Carey, D., Azzopardi, L. & Schafer, B., 11 Nov 2022, In: Proceedings of the ACM on Human-Computer Interaction. 6, CSCW2, 25 p., 323.

      Research output: Contribution to journal › Article › peer-review

      Open Access
      File

    • AWESSOME: An Unsupervised Sentiment Intensity Scoring Framework Using Neural Word Embeddings

      Htait, A. & Azzopardi, L., 30 Mar 2021, European Conference on Information Retrieval: Advances in Information Retrieval. Springer, p. 509-513 5 p. (Lecture Notes in Computer Science (LNCS)).

      Research output: Chapter in Book/Published conference output › Chapter

    • BERT-Based Transformers for Early Detection of Mental Health Illnesses

      Martínez-Castaño, R., Htait, A., Azzopardi, L. & Moshfeghi, Y., 14 Sept 2021, Experimental IR Meets Multilinguality, Multimodality, and Interaction: 12th International Conference of the CLEF Association, CLEF 2021, Virtual Event, September 21–24, 2021, Proceedings. Candan, K. S., Ionescu, B., Goeuriot, L., Larsen, B., Mueller, H., Joly, A., Maistro, M., Piroi, F., Faggioli, G. & Ferro, N. (eds.). p. 189-200 (Lecture Notes in Computer Science; vol. 12880).

      Research output: Chapter in Book/Published conference output › Conference publication

      Open Access
      File
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