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Advanced Text Analysis Techniques

TopicLeading institutions, researchers & key papers

Advanced Text Analysis Techniques is a topic indexed in ScholarIQ from OpenAlex.

What is known about Advanced Text Analysis Techniques?

ScholarIQrecord summary

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.

How many works does Advanced Text Analysis Techniques have?

ScholarIQindexed works

Advanced Text Analysis Techniques has 123 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.

What is the OpenAlex record for Advanced Text Analysis Techniques?

ScholarIQopenalex

The OpenAlex for Advanced Text Analysis Techniques is on the source record.

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
Knowledge-Based Systems. 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
Scientific Studies of Reading. 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
Information Sciences. 201882 CitationsOPEN ACCESS

Where is Advanced Text Analysis Techniques research published, and who funds it?

ScholarIQvenues & funding sources

TOP FUNDERS

National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
Funder breakdown is a member featureSign up free to unlock

How much of the research on Advanced Text Analysis Techniques is open access?

ScholarIQopen access share
53%OPEN ACCESS
Gold
13%
Green
20%
Hybrid
13%
Bronze
7%
Closed
47%

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