uClassify
About
We are the creators of uClassify. We really enjoy to use our own web service and intend to share as many classifiers as possible!
uClassify's classifiers (16)
This classifier has been trained on 21 different classical authors. We have used about three books per author collected from the Gutenberg project. It only works for English texts.
Try it out to see which poet your blog or text is most alike!
197686
total classifications
7834
last seven days
Classifies the language of a text by looking on about 4000 commonly used words per language. It works best with clean texts but can also be used for HTML pages. For reliable results HTML pages need more text content (since HTML often contains English words and comments).
2267352
total classifications
30628
last seven days
This news categorizer is only a simple example used in a tutorial. It has been trained on 20 texts per category (sports, entertainment and science) so don't expect too much (even though it seems to do incredibly well).
15983
total classifications
0
last seven days
This classifier tries to figure out if a text is written by a male or female. It has been trained on 11000 blogs (5500 blogs wrtten by females and 5500 by males). More text gives better results.
61043
total classifications
2040
last seven days
This classifier tries to estimate to which age group a blog belongs. The training data is based upon about 7000 blogs collected randomly from Internet.
28697
total classifications
809
last seven days
Categories an English text into a topic (Arts, Business, Computers, Games, Health, Home, Recreation, Science, Society and Sports). Each of those topics has more specific child classifier (Art Topics, Business Topics etc).
It uses a subset of topics from the Open Directory Project at http://www.dmoz.org.
438
total classifications
131
last seven days
Categories an English text into an art topic. Use the parent classifier 'Topics' to find out if a text belongs in this category.
It uses a subset of topics from the Open Directory Project at http://www.dmoz.org.
68
total classifications
0
last seven days
Categories an English text into an business topic. Use the parent classifier 'Topics' to find out if a text belongs in this category. It uses a subset of topics from the Open Directory Project at http://www.dmoz.org.
16
total classifications
0
last seven days
Categories an English text into a computer topic. Use the parent classifier 'Topics' to find out if a text belongs in this category. It uses a subset of topics from the Open Directory Project at http://www.dmoz.org.
25
total classifications
0
last seven days
Categories an English text into a game topic. Use the parent classifier 'Topics' to find out if a text belongs in this category. It uses a subset of topics from the Open Directory Project at http://www.dmoz.org.
11
total classifications
0
last seven days
Categories an English text into a health topic. Use the parent classifier 'Topics' to find out if a text belongs in this category. It uses a subset of topics from the Open Directory Project at http://www.dmoz.org.
23
total classifications
0
last seven days
Categories an English text into a home topic. Use the parent classifier 'Topics' to find out if a text belongs in this category. It uses a subset of topics from the Open Directory Project at http://www.dmoz.org.
7
total classifications
0
last seven days
Categories an English text into a recreation topic. Use the parent classifier 'Topics' to find out if a text belongs in this category. It uses a subset of topics from the Open Directory Project at http://www.dmoz.org.
13
total classifications
0
last seven days
Categories an English text into a science topic. Use the parent classifier 'Topics' to find out if a text belongs in this category. It uses a subset of topics from the Open Directory Project at http://www.dmoz.org.
10
total classifications
0
last seven days
Categories an English text into a society topic. Use the parent classifier 'Topics' to find out if a text belongs in this category. It uses a subset of topics from the Open Directory Project at http://www.dmoz.org.
23
total classifications
0
last seven days
Categories an English text into a sport topic. Use the parent classifier 'Topics' to find out if a text belongs in this category. It uses a subset of topics from the Open Directory Project at http://www.dmoz.org.
18
total classifications
2
last seven days