Spectrep: A software for spectral representation of text content
Spectrep (Spectral Representation) implements a text representation framework for obtaining a multi-view representation that consolidates lexical, syntactic, and semantic features by structuring a workflow with popular text processing tools such as NTLK, Gensim, and Self-Organizing Maps. This framework is intended to be used in text pre-processing for its application in more robust machine learning applications. This software is open-source and implemented in Python. It has been successfully tested with several tasks to prove its functionality.
Authors
- Helena Gómez-Adorno (ORCID: https://orcid.org/0000-0002-6966-9912)
- Melesio Crespo-Sanchez (ORCID: https://orcid.org/0000-0001-5688-5352)
- Edwin Aldana-Bobadilla (ORCID: https://orcid.org/0000-0001-8315-1813)
- J. L. González-Compeán (ORCID: https://orcid.org/0000-0002-2160-4407)
- Iván López-Arévalo (ORCID: https://orcid.org/0000-0002-7464-8438)
Institutions
- Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (MX)
- Universidad Nacional Autónoma de México (MX)
Publication Details
- Journal
- SoftwareX
- Published
- 2024-08-23
- DOI
- https://doi.org/10.1016/j.softx.2024.101849
- Primary Topic
- Advanced Text Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Consejo Nacional de Ciencia y Tecnología
- Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México