text2graphAPI: A library to transform text documents into different graph representations
This paper introduces a new Python API called text2graphAPI. It is an easy-to-use library for transforming text documents into different graph representations, such as Word-Cooccurrence, Heterogeneous, and Integrated Syntactic Graphs. In addition, it contains a text pre-processing module that supports input text in different languages: English, Spanish, and French. These generated graph structures can be used to solve tasks in various areas, such as Authorship Analysis, Information Retrieval, and Topic Classification, to name a few.
Authors
- Helena Gómez-Adorno (ORCID: https://orcid.org/0000-0002-6966-9912)
- Andric Valdez-Valenzuela (ORCID: https://orcid.org/0009-0001-9419-0620)
Institutions
- Universidad Autónoma de la Ciudad de México (MX)
- Universidad Nacional Autónoma de México (MX)
Publication Details
- Journal
- SoftwareX
- Published
- 2024-11-06
- DOI
- https://doi.org/10.1016/j.softx.2024.101888
- Primary Topic
- Natural Language Processing 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