TEXT-ANALYTICS.CH KEYWORD DENSITY CHECKER

Total words: 2005 | 2-word phrases: 521 | 3-word phrases: 582 | 4-word phrases: 594

PAGE INFO

Title Try to keep the title under 60 characters (5 characters)
BiTEM
Description Try to keep the meta description between 50 - 160 characters (32 characters)
Bibliomics and Text Mining Group
Keywords Meta keywords are not recommended anymore (0 characters)
H1 H1 tag on the page (11 characters)
BiTeM Group

ONE WORD PHRASES 308 Words

# Keyword H1 Title Des Volume Position Suggest Frequency Density
1the268.44%
2of185.84%
3to154.87%
4text134.22%
5and134.22%
6email123.90%
7in92.92%
8mining92.92%
9group82.60%
10information72.27%

TWO WORD PHRASES 521 Words

# Keyword H1 Title Des Volume Position Suggest Frequency Density
1of the61.15%
2text mining50.96%
3patrick ruch40.77%
4former members30.58%
5julien gobeill30.58%
6the bibliome30.58%
7luc mottin30.58%
8biologists and30.58%
9julien knafou30.58%
10bitem group30.58%
11research areas30.58%
12alexandre flament30.58%
13van rijen30.58%
14esteban gaillac30.58%
15emilie pasche30.58%
16the sib30.58%
17paul van30.58%
18fabio ricci20.38%
19jeevanthi lyiana20.38%
20data mining20.38%

THREE WORD PHRASES 582 Words

# Keyword H1 Title Des Volume Position Suggest Frequency Density
1paul van rijen30.52%
2swiss institute of20.34%
3of the sib20.34%
4sib swiss institute20.34%
5who we are20.34%
6jeevanthi lyiana pathirana20.34%
7the bitem group20.34%
8the sib swiss20.34%
9sib text mining20.34%
10of biological text20.34%
11entity relation modeling10.17%
12summarization and entity10.17%
13sentiment analysis document10.17%
14assignment sentiment analysis10.17%
15relation modeling ie10.17%
16modeling ie extraction10.17%
17ie extraction of10.17%
18and entity relation10.17%
19skip to content10.17%
20interactions today many10.17%
21descriptor assignment sentiment10.17%
22filtering descriptor assignment10.17%
23include text categorization10.17%
24tasks include text10.17%
25common tasks include10.17%
26other common tasks10.17%
27interestingness other common10.17%
28relevance novelty and10.17%
29of relevance novelty10.17%
30proteinprotein interactions today10.17%

FOUR WORD PHRASES 594 Words

# Keyword H1 Title Des Volume Position Suggest Frequency Density
1sib swiss institute of20.34%
2the sib swiss institute20.34%
3of the sib swiss20.34%
4with material for mkdocs10.17%
5role in the domain10.17%
6the bibliome biologists and10.17%
7mining usually involves the10.17%
8text mining usually involves10.17%
9domain text mining usually10.17%
10the domain text mining10.17%
11in the domain text10.17%
12important role in the10.17%
13thus from the bibliome10.17%
14an important role in10.17%
15play an important role10.17%
16bibliome biologists and computer10.17%
17biologists and computer scientists10.17%
18and manually crafted rules10.17%
19ontologies and manually crafted10.17%
20terminologies ontologies and manually10.17%
21dictionaries terminologies ontologies and10.17%
22datamine to discover new10.17%
23from the bibliome biologists10.17%
24process of structuring the10.17%
25knowledge intensive resources such10.17%
26or enriched database a10.17%
27the web patent documents10.17%
28eg questionanswering information retrieval10.17%
29includes eg questionanswering information10.17%
30task includes eg questionanswering10.17%
31mining task includes eg10.17%
32web patent documents or10.17%
33patent documents or clinical10.17%
34database a typical text10.17%
35enriched database a typical10.17%
36structured or enriched database10.17%
37of structuring the unstructured10.17%
38more structured or enriched10.17%
39a more structured or10.17%
40generate a more structured10.17%

EXTERNAL LINKS

# URL Whois Check
1https://www.hesge.ch/heg/recherche/institut-et-laboratoires?bibliomics-and-text-mining-group---bitem Whoishesge.ch
2https://www.sib.swiss/patrick-ruch-group Whoissib.swiss