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Data Science and Social Research pp 97–103Cite as

TaLTaC 3.0. A Multi-level Web Platform for Textual Big Data in the Social Sciences

Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)

Abstract

The TaLTaC software package as a tool of lexical and textual analysis, versions 1.0 e 2.0, lived over the last decades (1999–2015). It appears now to have met its technological limits. The TaLTaC version 3.0 (from now on T3) has been redesigned to overcome those limits. The process included: (i) recoding of all inner software components with modern web-related languages and standards; (ii) adoption of a new kind of database (NoSQL) capable to handle corpora in the order of magnitude of gigabytes; (iii) new criteria for data storage and data processing. The software architecture is modular and allows to decouple user interaction from actual data computing. The two main components are: the GUI (graphical user interface), based on HTML5/CSS/Js and the back-end processing CORE. The new design also made it possible to run T3 among the mainstream operating systems: Os X, Windows, and Linux. From a single parsing operation, T3 produces many vocabularies for multi-level lexical analysis. This allows one to disambiguate, in a semiautomatic fashion, between the different text graphical forms on the basis of concordance. I also allows for a virtual transformation of simple forms into multi-words.

Keywords

  • Software engineering
  • Text mining
  • Big data
  • Lexical analysis

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Fig. 1

Notes

  1. 1.

    http://www.dss.uniroma1.it/en/node/6365 (2016). Accessed 30 Apr 2016.

  2. 2.

    http://github.com/electron/electron, accessed November 2016.

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Author information

Authors and Affiliations

  1. Dipartimento MEMOTEF, Università degli Studi di Roma “La Sapienza”, Rome, Italy

    Sergio Bolasco

  2. Dipartimento di Ingegneria e Scienze dell’ Informazione e Matematica, Università degli Studi dell’ Aquila, L’ Aquila, Italy

    Giovanni De Gasperis

Authors
  1. Sergio Bolasco
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  2. Giovanni De Gasperis
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Corresponding author

Correspondence to Sergio Bolasco .

Editor information

Editors and Affiliations

  1. Department of Economy and Statistics, University of Naples Federico II, Naples, Italy

    N. Carlo Lauro

  2. Department of Social Sciences, University of Naples Federico II, Naples, Italy

    Enrica Amaturo

  3. Department of Social Sciences, University of Naples Federico II, Naples, Italy

    Maria Gabriella Grassia

  4. Department of Social Sciences, University of Naples Federico II, Naples, Italy

    Biagio Aragona

  5. Department of Social Sciences, University of Naples Federico II, Naples, Italy

    Marina Marino

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Bolasco, S., De Gasperis, G. (2017). TaLTaC 3.0. A Multi-level Web Platform for Textual Big Data in the Social Sciences. In: Lauro, N., Amaturo, E., Grassia, M., Aragona, B., Marino, M. (eds) Data Science and Social Research. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Cham. https://doi.org/10.1007/978-3-319-55477-8_9

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