60 citations · 471 across the 26 of their papers we have counts for
12 papers · 1 filter
Probing the statistical properties of enriched co-occurrence networks
Diego R. Amancio, Jeaneth Machicao, Laura V. C. Quispe
Recent studies have explored the addition of virtual edges to word co-occurrence networks using word embeddings to enhance graph representations, particularly for short texts. Whil…
Using virtual edges to extract keywords from texts modeled as complex networks
Jorge A. V. Tohalino, Thiago C. Silva, Diego R. Amancio
Detecting keywords in texts is important for many text mining applications. Graph-based methods have been commonly used to automatically find the key concepts in texts, however, re…
Language Networks: a Practical Approach
Jorge A. V. Tohalino, Diego R. Amancio
This manuscript provides a short and practical introduction to the topic of language networks. This text aims at assisting researchers with no practical experience in text and/or n…
Using word embeddings to improve the discriminability of co-occurrence text networks
Laura V. C. Quispe, Jorge A. V. Tohalino, Diego R. Amancio
Word co-occurrence networks have been employed to analyze texts both in the practical and theoretical scenarios. Despite the relative success in several applications, traditional c…
Semantic flow in language networks
Edilson A. Corrêa, Vanessa Q. Marinho, Diego R. Amancio
In this study we propose a framework to characterize documents based on their semantic flow. The proposed framework encompasses a network-based model that connected sentences based…
Paragraph-based complex networks: application to document classification and authenticity verification
Henrique F. de Arruda, Vanessa Q. Marinho, Luciano da F. Costa +1
With the increasing number of texts made available on the Internet, many applications have relied on text mining tools to tackle a diversity of problems. A relevant model to repres…