Skip to main navigation
Skip to search
Skip to main content
Research portal Eindhoven University of Technology Home
Help & FAQ
English
Nederlands
Home
Researchers
Research output
Organisational Units
Activities
Projects
Prizes
Press/Media
Facility/Lab/Equipment
Datasets
Courses
Research areas
Student theses
Search by expertise, name or affiliation
Identifying different types of companies via their website text
Piet Daas, Nick de Wolf
Statistics
Research output
:
Contribution to conference
›
Paper
›
Academic
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Identifying different types of companies via their website text'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Mathematics
Test Set
100%
Logistic Regression
100%
Probability Theory
50%
Random Sample
50%
Distribution Shape
50%
Computer Science
Artificial Intelligence
100%
Company Website
60%
Logistic Regression
40%
Support Vector Machine
20%
Positive Example
20%
Classification Algorithm
20%
classification result
20%
Economics, Econometrics and Finance
Platform Economy
100%
Logit Model
50%
New Product Development
25%
Agricultural and Biological Sciences
Artificial Intelligence
100%
Europeans
20%
Python
20%
Pythonidae
20%
Psychology
Artificial Intelligence
100%