Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Levels of Communication II: Organizational, Public, and Group Dynamics01:27

Levels of Communication II: Organizational, Public, and Group Dynamics

3.0K
Effective communication is the foundation of a good organization. Communication is the lifeblood of an organization that connects the group with messages. In an organization, communication occurs in upward, downward, and horizontal lines. Downward communication travels from the administrative and senior levels to the staff through official channels such as manuals, rules and regulations, and organizational charts. Staff members initiate upward communication, which is addressed to executives and...
3.0K
Force Classification01:22

Force Classification

2.4K
Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
2.4K
Classification of Neurotransmitters01:30

Classification of Neurotransmitters

5.3K
Neurotransmitters play a crucial role in the communication between neurons in the autonomic nervous system. Neurons in the autonomic nervous system can be cholinergic or adrenergic depending on the neurotransmitters synthesized. Cholinergic neurons use acetylcholine as their primary neurotransmitter. This includes all the preganglionic fibers of the sympathetic and pre- and postganglionic fibers of the parasympathetic nervous systems. In addition, neurons of the somatic nervous system also use...
5.3K
Classification of Leukocytes01:30

Classification of Leukocytes

6.0K
Leukocytes are classified into two groups based on the presence or absence of cytoplasmic granules. Granular leukocytes, which contain granules, belong to the myeloid lineage and are divided into three subtypes: neutrophils, eosinophils, and basophils. These cells are roughly spherical and characterized by the granules in their cytoplasm.
Neutrophils are the most abundant type of granular leukocytes, comprising 50-70% of all leukocytes. They feature small, evenly distributed granules and a...
6.0K
Classification of Illness01:17

Classification of Illness

8.8K
The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...
8.8K
Classification of Bones01:18

Classification of Bones

10.0K
The bones of the human skeletal system are of varied shapes, sizes, and functions. They can be classified based on their shape and function into four major classes: long bones, short bones, flat bones, and irregular bones. Some classifications include a fifth type, the sesamoid bones, as a separate class, whereas others categorize them under short bones.
Long and Short Bones
The appendicular skeleton, particularly the upper and lower limbs, is primarily made of long and short bones. The...
10.0K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Data from the Researcher Mental Health Observatory STAIRCASE Survey.

Journal of open psychology data·2026
Same author

Prioritizing the bottom line over people in a crisis: How leader behavior affects employee psychological distress under economic threat.

PloS one·2025
Same author

'Eye in the sky': Off-the-shelf unmanned aerial vehicle (UAV) highlights exposure of marine turtles to floating litter (FML) in nearshore waters of Mayo Bay, Philippines.

Marine pollution bulletin·2022
Same author

A Scholarly Knowledge Graph-Powered Dashboard: Implementation and User Evaluation.

Frontiers in research metrics and analytics·2022
Same author

Latent Class Cluster Analysis: Selecting the number of clusters.

MethodsX·2022
Same author

Gender Differences in the Perceived Behavior of Narcissistic Leaders.

Frontiers in psychology·2022
Same journal

Comparative Configurational Process Analysis: A New Set-Theoretic Technique for Longitudinal Case Analysis.

Organizational research methods·2025
Same journal

From Ties to Events in the Analysis of Interorganizational Exchange Relations.

Organizational research methods·2023
Same journal

Overview of MEG.

Organizational research methods·2019
Same journal

Text Mining in Organizational Research.

Organizational research methods·2018
Same journal

The Psychometric Latent Agreement Model (PLAM) for Discrete Latent Variables Measured by Multiple Items.

Organizational research methods·2015
See all related articles

Related Experiment Video

Updated: Feb 9, 2026

How to Measure Cortical Folding from MR Images: a Step-by-Step Tutorial to Compute Local Gyrification Index
09:57

How to Measure Cortical Folding from MR Images: a Step-by-Step Tutorial to Compute Local Gyrification Index

Published on: January 2, 2012

28.6K

Text Classification for Organizational Researchers: A Tutorial.

Vladimer B Kobayashi1, Stefan T Mol1, Hannah A Berkers1

  • 1Leadership and Management Group, Amsterdam Business School, University of Amsterdam, Amsterdam, The Netherlands.

Organizational Research Methods
|June 9, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces text mining techniques for automatic text classification, enabling organizations to efficiently categorize large document volumes. It provides a practical guide and R code for researchers to develop reliable text classifiers.

Keywords:
naive Bayesrandom forestsupport vector machinestext classificationtext mining

More Related Videos

Flying Insect Detection and Classification with Inexpensive Sensors
05:16

Flying Insect Detection and Classification with Inexpensive Sensors

Published on: October 15, 2014

25.7K
Ultrasound Images of the Tongue: A Tutorial for Assessment and Remediation of Speech Sound Errors
08:32

Ultrasound Images of the Tongue: A Tutorial for Assessment and Remediation of Speech Sound Errors

Published on: January 3, 2017

23.2K

Related Experiment Videos

Last Updated: Feb 9, 2026

How to Measure Cortical Folding from MR Images: a Step-by-Step Tutorial to Compute Local Gyrification Index
09:57

How to Measure Cortical Folding from MR Images: a Step-by-Step Tutorial to Compute Local Gyrification Index

Published on: January 2, 2012

28.6K
Flying Insect Detection and Classification with Inexpensive Sensors
05:16

Flying Insect Detection and Classification with Inexpensive Sensors

Published on: October 15, 2014

25.7K
Ultrasound Images of the Tongue: A Tutorial for Assessment and Remediation of Speech Sound Errors
08:32

Ultrasound Images of the Tongue: A Tutorial for Assessment and Remediation of Speech Sound Errors

Published on: January 3, 2017

23.2K

Area of Science:

  • Organizational Research
  • Data Science
  • Computational Social Science

Background:

  • Organizations face challenges in managing and utilizing information from large document sets.
  • Manual text classification becomes inefficient and unreliable as document volume increases.
  • Text mining offers automated solutions for efficient and accurate text categorization.

Purpose of the Study:

  • To introduce organizational researchers to text mining techniques for automated text classification.
  • To provide a practical, step-by-step guide for developing text classifiers.
  • To demonstrate the application of these techniques using job vacancy mining as a case study.

Main Methods:

  • Description of the text classification process: training data preparation, preprocessing, transformation, classification, and validation.
  • Utilizing machine learning and statistical techniques for automated text categorization.
  • Providing R code in a tutorial format for practical implementation by researchers.

Main Results:

  • Demonstration of how text mining techniques can automate text classification for organizational research.
  • Practical recommendations and code facilitate the development of custom text classifiers.
  • Validation strategies for text classification models and their outputs are discussed.

Conclusions:

  • Automated text classification using text mining is essential for effective information management in organizations.
  • The provided tutorial and R code empower researchers to implement text classification independently.
  • Reliable text classification enhances the potential of organizational research through efficient data analysis.