72 citations · 153 across the 8 of their papers we have counts for
8 papers
Using citation networks to evaluate the impact of text length on the identification of relevant concepts
Jorge A. V. Tohalino, Thiago C. Silva, Diego R. Amancio
The identification of the most significant concepts in unstructured data is of critical importance in various practical applications. Despite the large number of methods that have…
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…
On predicting research grants productivity
Jorge A. V. Tohalino, Diego R. Amancio
Understanding the reasons associated with successful proposals is of paramount importance to improve evaluation processes. In this context, we analyzed whether bibliometric feature…
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…
Analyzing the relationship between text features and research proposal productivity
Jorge A. V. Tohalino, Laura V. C. Quispe, Diego R. Amancio
Predicting the output of research grants is of considerable relevance to research funding bodies, scientific entities and government agencies. In this study, we investigate whether…
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…
Extractive Multi-document Summarization Using Multilayer Networks
Jorge V. Tohalino, Diego R. Amancio
Huge volumes of textual information has been produced every single day. In order to organize and understand such large datasets, in recent years, summarization techniques have beco…
Extractive Multi Document Summarization using Dynamical Measurements of Complex Networks
Jorge V. Tohalino, Diego R. Amancio
Due to the large amount of textual information available on Internet, it is of paramount relevance to use techniques that find relevant and concise content. A typical task devoted…