đź‘Ą Developers
🌍 Main Contributions about TALL
TALL has been presented at several national and international conferences and workshops, spanning computational linguistics, data science, text mining, and digital humanities.
CLiC-it 2023
9th Italian Conference on Computational Linguistics – Venice
Nov 30 – Dec 1, 2023
Ai-CODED
Jean Monnet Centre of Excellence – University of Naples L’Orientale
April 17, 2024
DSSR 2024
4th International Conference on Data Science and Social Research – Naples
March 25–27, 2024
How can AI translate?
International Conference of Linguistics – University of Naples Federico II
April 20–23, 2024
SIS 2024
52nd Meeting of the Italian Statistical Society – Bari
June 17–20, 2024
U-CHASS Seminar
Unit of Computational Humanities and Social Sciences – University of Granada
Feb 13, 2024
Summer School in Science Mapping
University of Naples Federico II
May 27–31, 2024
JADT 2024
17th International Conference on the Statistical Analysis of Textual Data – Brussels
June 25–27, 2024
đź“– Scientific References
Our main scientific contributions span text mining, semantic analysis, and text summarization, with applications in bibliometrics, education, and health policy.
- M. Aria, C. Cuccurullo, L. D’Aniello, M. Misuraca, M. Spano (2024). Comparative science mapping: a novel conceptual structure analysis with metadata. Scientometrics. https://doi.org/10.1007/s11192-024-05161-6
- L. D’Aniello, N. Robinson-Garcia, M. Aria, C. Cuccurullo (2024). Decoding Knowledge Claims: The Evaluation of Scientific Publication Contributions through Semantic Analysis. arXiv preprint arXiv:2407.18646. Presented at the 28th STI Conference, Berlin, Sept 18–20, 2024.
- L. D'Aniello, M. Aria, C. Cuccurullo, M. Misuraca, M. Spano (2024). Extracting knowledge from scientific literature with an integrated Text Summarization approach. In A. Dister, D. Longrée (Eds.), JADT24, Presses Universitaires De Louvain Vol.1, pp. 239–248. ISBN: 978-2-39061-471-5.
- M. Aria, C. Cuccurullo, L. D’Aniello, M. Misuraca, M. Spano (2022). Text Summarization of a scientific document: a comparison of extractive unsupervised methods. In 16th International Conference on Statistical Analysis of Textual Data, Vol. 1, pp. 67–73. ISBN: 979-12-80153-30-2.
- L. D’Aniello, M. Spano, C. Cuccurullo, M. Aria (2022). Academic Health Centers’ configurations, scientific productivity, and impact. Health Policy. https://doi.org/10.1016/j.healthpol.2022.09.007
- M. Aria, C. Cuccurullo, L. D’Aniello, M. Misuraca, M. Spano (2022). Thematic Analysis as a new culturomic tool: the social media coverage on COVID-19 in Italy. Sustainability, 14(6), 3643.
- M. Misuraca, M. Spano (2020). Unsupervised analytic strategies to explore large document collections. In: D.F. Iezzi, D. Mayaffre, M. Misuraca (Eds.), Text Analytics. Advances and Challenges, Springer, pp. 17–28.
- M. Misuraca, G. Scepi, M. Spano (2021). Using Opinion Mining as an educational analytic: an integrated strategy for the analysis of students’ feedback. Studies in Educational Evaluation, 68, 100979.