Text linguistics is becoming a significant reference source for theorist as well as practitioners in information fusion, decision making and operations, given its research focus ranging from discourse analysis, text analysis and social media-inspired analysis. This article reviews and maps academic literature in the subject of text linguistics using a cutting-edge scientometrics approach. It recognizes major research outputs, themes, and authors in this way. It compares data harvests to discuss the field’s future trends. The work is the first systematic mapping of the subject of text linguistics, and it has important implications for using the scientometrics method to review academic publications.