Text Analysis for ALL
TALL is an interactive R package and Shiny web application for accessible quantitative and qualitative text analysis — from topic modeling to social media mining — without requiring any coding skills.
Co-authored with M. Aria, M. Spano, C. Cuccurullo, and C. Misuraca, TALL was officially released on CRAN in February 2025. It offers a user-friendly graphical interface for exploring, modeling, and visualizing textual data, incorporating the most recent methods proposed in the literature. With over 3,000 installations, it has attracted growing interest in the scientific community for accessible, robust, and transparent text analysis solutions.
TALL supports a wide range of analytical tasks: frequency analysis, sentiment analysis, topic modeling (LDA, STM), thematic maps, network analysis of co-occurrences, and social media analytics. It is designed for researchers, students, and professionals who need to perform rigorous text analysis without programming expertise.
Frequency analysis, word clouds, n-gram analysis, and corpus statistics
LDA and STM topic models with interactive visualization and parameter tuning
Co-occurrence networks and thematic clustering of textual data
Import and analyse social media data from multiple platforms
Comprehensive Scientometric Analysis in R
bibliometrix is a comprehensive open-source R tool for quantitative research in scientometrics and bibliometrics, including performance analysis and science mapping. It is one of the most widely used tools for scientometric analysis globally.
Originally developed by M. Aria & C. Cuccurullo (2017), bibliometrix provides a framework for bibliometric data management and analysis. I am a member of the core development team since 2020, contributing to the expansion of its analytical capabilities and the development of biblioshiny, its interactive Shiny interface.
bibliometrix and its Shiny counterpart, Biblioshiny, are used by researchers in more than 150 countries. They support systematic literature reviews, co-citation analysis, keyword co-occurrence analysis, historiographic analysis, thematic mapping, and science mapping at a global scale.
Keyword co-occurrence, co-citation, and bibliographic coupling analysis
Productivity and impact indicators for authors, journals, institutions, and countries
Support for PRISMA-compliant systematic literature reviews with automated tools
Interactive no-code Shiny web app for visual bibliometric analysis