Advanced Text Analysis Techniques

TopicLeading institutions, researchers & key papers

This cluster of papers focuses on the automatic extraction of keywords from textual data using various techniques such as graph-based methods, unsupervised approaches, and neural networks. The research explores the application of linguistic knowledge and statistical information to improve the accuracy of keyword extraction from documents.

123

Works

IDs:OpenAlex

How has Advanced Text Analysis Techniques's publication output changed over time?

ScholarIQpublication output · 2011–2025

Output grew0% over the shown period — from 1 works in 2011 to 1 in 2025.

201120152016201820192020202120242025

What are the most-cited papers on Advanced Text Analysis Techniques?

ScholarIQmost cited works

A Tutorial on Conducting and Interpreting a Bayesian ANOVA in JASP

Don van den Bergh, Johnny van Doorn, Maarten Marsman, Tim Draws, Erik–Jan van Kesteren, Koen Derks, Fabian Dablander, Quentin F. Gronau, Šimon Kucharský, Akash Gupta, Alexandra Sarafoglou, Jan G. Voelkel, Angelika Marlene Stefan, Alexander Ly, Max Hinne, Dóra Matzke, Eric‐Jan Wagenmakers

L’Année psychologique. 2020273 CitationsOPEN ACCESS

A survey of the applications of text mining in financial domain

B. Shravan Kumar, Vadlamani Ravi

S10169007. 2016266 Citations

The Random Forests statistical technique: An examination of its value for the study of reading

Kazunaga Matsuki, Victor Kuperman, Julie A. Van Dyke

S128978809. 2016170 CitationsOPEN ACCESS

Mapping Human–Computer Interaction Research Themes and Trends from Its Existence to Today: A Topic Modeling-Based Review of past 60 Years

Fatih Gürcan, Nergiz Ercil Çağıltay, Kürşat Çağıltay

International Journal of Human-Computer Interaction. 2020111 CitationsOPEN ACCESS

Analysing discussions in social networks using group decision making methods and sentiment analysis

Juan Antonio Morente-Molinera, Gang Kou, Yi Peng, Cristóbal Torres Albero, Enrique Herrera‐Viedma