About us

Five researchers.
One mission.

TALL is built by a small, collaborative team across three Italian universities and the K‑Synth academic spin‑off of the University of Naples Federico II — united by the belief that rigorous text analysis should be accessible to every researcher, regardless of programming background.

Host institution

University of Naples
Federico II

Partner

University of Campania
Luigi Vanvitelli

Partner

University of
Salerno

Spin‑off

K‑Synth
Naples, Italy

§ 1 · The team

Creators & contributors.

Creators

Massimo Aria
Massimo Aria
Full Professor of Statistics for Social Sciences
University of Naples Federico II · K‑Synth
Maria Spano
Maria Spano
Associate Professor of Statistics for Social Sciences
University of Naples Federico II · K‑Synth
Luca D'Aniello
Luca D'Aniello
Assistant Professor of Statistics for Social Sciences
University of Naples Federico II · K‑Synth

Contributors

Corrado Cuccurullo
Corrado Cuccurullo
Full Professor of Corporate Governance & Valuation
University of Campania Luigi Vanvitelli · K‑Synth
Michelangelo Misuraca
Michelangelo Misuraca
Associate Professor of Statistics for Social Sciences
University of Salerno · K‑Synth
§ 2 · Presentations

Presented at international venues.

TALL has been showcased at national and international conferences in computational linguistics, statistics, and digital humanities.

  • Nov 30 — Dec 1, 2023
    CLiC‑it 2023
    9th Italian Conference on Computational Linguistics — Venice
  • Feb 13, 2024
    U‑CHASS Seminar
    Unit of Computational Humanities and Social Sciences — University of Granada
  • Mar 25 — 27, 2024
    DSSR 2024
    4th International Conference on Data Science and Social Research — Naples
  • Apr 17, 2024
    AI‑CODED
    Jean Monnet Centre of Excellence — University of Naples L'Orientale
  • Apr 20 — 23, 2024
    How can AI translate?
    International Conference of Linguistics — University of Naples Federico II
  • May 27 — 31, 2024
    Summer School in Science Mapping
    University of Naples Federico II
  • Jun 17 — 20, 2024
    SIS 2024
    52nd Meeting of the Italian Statistical Society — Bari
  • Jun 25 — 27, 2024
    JADT 2024
    17th International Conference on Statistical Analysis of Textual Data — Brussels
§ 3 · Scientific contributions

Foundational work.

TALL synthesises a decade of methodological research on text mining, semantic analysis, and reproducible software.

2026
M. Aria, M. Spano, L. D'Aniello, C. Cuccurullo, M. Misuraca
TALL: Text Analysis for All — an interactive R‑Shiny application for exploring, modeling, and visualizing textual data
SoftwareX · 2026
2024
M. Aria, C. Cuccurullo, L. D'Aniello, M. Misuraca, M. Spano
Comparative science mapping: a novel conceptual structure analysis with metadata
2024
L. D'Aniello, N. Robinson‑Garcia, M. Aria, C. Cuccurullo
Decoding Knowledge Claims: The Evaluation of Scientific Publication Contributions through Semantic Analysis
28th STI Conference, Berlin · arXiv:2407.18646
2024
L. D'Aniello, M. Aria, C. Cuccurullo, M. Misuraca, M. Spano
Extracting knowledge from scientific literature with an integrated Text Summarization approach
JADT24 · Presses Universitaires De Louvain · Vol. 1, pp. 239–248
2022
M. Aria, C. Cuccurullo, L. D'Aniello, M. Misuraca, M. Spano
Thematic Analysis as a new culturomic tool: the social media coverage on COVID‑19 in Italy
Sustainability · 14(6), 3643
2022
L. D'Aniello, M. Spano, C. Cuccurullo, M. Aria
Academic Health Centres' configurations, scientific productivity, and impact
2021
M. Misuraca, G. Scepi, M. Spano
Using Opinion Mining as an educational analytic: an integrated strategy for the analysis of students' feedback
Studies in Educational Evaluation · 68, 100979
2020
M. Misuraca, M. Spano
Unsupervised analytic strategies to explore large document collections
In: Iezzi, Mayaffre, Misuraca (Eds.), Text Analytics. Advances and Challenges · Springer

Want to collaborate?

We welcome feedback, contributions, and research partnerships. Open an issue on GitHub or reach out directly.