Apr 1, 2020 · An alternative way to work on texts is to represent them as a network where nodes are entities connected by the presence and distribution of the words in the documents. In this …

Apr 23, 2022 · This chapter covers the theoretical framework for network text analysis, including its advantages, disadvantages, and various essential features. Further, it covers various open …

The author then covers the traditional thematic approaches of text analysis, followed by an explanation of newer developments in semantic and network text analysis methodologies.

What Is Network Text Analysis? Network analysis is a technique that depicts the association between units of analysis where networks are mathematical objects that are composed of …

We propose a novel method that combines transformer models with network analysis to form a self-referential representation of language use within a corpus of interest.

As noted above, network text analysis (NTA) involves the conversion of words into concepts, the creation of linkages between pairs of those concepts, and the subsequent analysis of the …

Jan 1, 2014 · This paper describes a novel method of network text analysis, one that involves a new approach to 1) the selection of words from a text, 2) the aggregation of those words into …

Network-Text Analysis (NTA) is a technique for extracting networks of concepts appearing in natural language texts that are linked by a certain measure of proximity.

In the paper different ways to derive networks from the textual data and an overview of (possible) applications of network analysis to the analysis of texts is presented. Several examples of …

Mar 6, 2025 · The goal of this Research Topic is to present readers with an array of current issues, concepts, and methods for the semantic network analysis of text that point to …