COMPCOGSCISYDNEY.ORG: Keyword Density Checker

Total words: 2832 | 2-word phrases: 772 | 3-word phrases: 822 | 4-word phrases: 831

PAGE INFO

Title	Try to keep the title under 60 characters (36 characters) UNSW Computational Cognitive Science
Description	Try to keep the meta description between 50 - 160 characters (148 characters) Concept learning and reasoning are central themes of our UNSW Computational Cognitive Science work, as are language acquisition and decision making.
Keywords	Meta keywords are not recommended anymore (0 characters)
H1	H1 tag on the page (36 characters) UNSW Computational Cognitive Science

#	Keyword	Frequency	Density
1	at the university	2	0.24%
2	ph d student	2	0.24%
3	the university of	2	0.24%
4	university of new	2	0.24%
5	of new south	2	0.24%
6	statistical computing language	2	0.24%
7	r statistical computing	2	0.24%
8	the r statistical	2	0.24%
9	using the r	2	0.24%
10	new south wales	2	0.24%
11	of human cognition	2	0.24%
12	in cognitive science	2	0.24%
13	computational cognitive science	2	0.24%
14	lecture notes for	1	0.12%
15	undergraduate statistics and	1	0.12%
16	notes became quite	1	0.12%
17	computing language the	1	0.12%
18	class using the	1	0.12%
19	methods class using	1	0.12%
20	research methods class	1	0.12%
21	an undergraduate statistics	1	0.12%
22	notes for an	1	0.12%
23	detection problem learning	1	0.12%
24	statistics with r	1	0.12%
25	with r lecture	1	0.12%
26	r lecture notes	1	0.12%
27	for an undergraduate	1	0.12%
28	novelty detection problem	1	0.12%
29	unsw compcogsci projects	1	0.12%
30	that people bring	1	0.12%

#	Keyword	Frequency	Density
1	r statistical computing language	2	0.24%
2	at the university of	2	0.24%
3	the r statistical computing	2	0.24%
4	of new south wales	2	0.24%
5	university of new south	2	0.24%
6	the university of new	2	0.24%
7	using the r statistical	2	0.24%
8	events objects etc that	1	0.12%
9	biases that people bring	1	0.12%
10	this project we investigated	1	0.12%
11	project we investigated the	1	0.12%
12	people events objects etc	1	0.12%
13	new people events objects	1	0.12%
14	life we constantly encounter	1	0.12%
15	everyday life we constantly	1	0.12%
16	we investigated the inductive	1	0.12%
17	that people bring to	1	0.12%
18	one in this project	1	0.12%
19	people bring to this	1	0.12%
20	bring to this novelty	1	0.12%
21	to this novelty detection	1	0.12%
22	this novelty detection problem	1	0.12%
23	novelty detection problem learning	1	0.12%
24	statistics with r lecture	1	0.12%
25	in everyday life we	1	0.12%
26	in this project we	1	0.12%
27	new one in this	1	0.12%
28	objects etc that dont	1	0.12%
29	categories when this happens	1	0.12%
30	etc that dont fit	1	0.12%
31	that dont fit neatly	1	0.12%
32	dont fit neatly into	1	0.12%
33	fit neatly into any	1	0.12%
34	neatly into any of	1	0.12%
35	into any of our	1	0.12%
36	any of our old	1	0.12%
37	when this happens we	1	0.12%
38	a new one in	1	0.12%
39	this happens we need	1	0.12%
40	happens we need to	1	0.12%

#	URL	Whois	Check
1	https://scholar.google.com.au/citations?user=QPH_lRIAAAAJ&hl=en	Whois	com.au
2	https://github.com/djnavarro	Whois	github.com
3	http://orcid.org/0000-0001-7648-6578	Whois	orcid.org
4	https://osf.io/8gtyv/	Whois	osf.io
5	https://twitter.com/djnavarro	Whois	twitter.com
6	https://djnavarro.net	Whois	djnavarro.net
7	https://jaredhotaling.blog/	Whois	jaredhotaling.blog
8	https://jessicaleephd.wordpress.com/	Whois	wordpress.com
9	https://psyr.org/	Whois	psyr.org
10	https://psyr.org/	Whois	psyr.org
11	https://djnavarro.github.io/minds-machines-4103	Whois	github.io
12	https://djnavarro.github.io/minds-machines-4103	Whois	github.io
13	https://learningstatisticswithr.com	Whois	learningstatisticswithr.com
14	https://learningstatisticswithr.com	Whois	learningstatisticswithr.com
15	https://slides.com/djnavarro/user2018#/	Whois	slides.com
16	https://slides.com/djnavarro/user2018#/	Whois	slides.com