Work

text2graphAPI: A library to transform text documents into different graph representations

Year: 2024

Type: software-paper

Abstract: 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.

Source: SoftwareX

DOI: 10.1016/j.softx.2024.101888

Authors: Andric Valdez-Valenzuela, Helena Gómez-Adorno

Institution: Universidad Nacional Autónoma de México

Language: English

Topic: Advanced Text Analysis Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $970

Funders: Consejo Nacional de Ciencia y Tecnología, Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México