Statements (48)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
statistical law
|
| gptkbp:appliesTo |
market research
natural language processing web traffic |
| gptkbp:associated_with |
lexical diversity
|
| gptkbp:description |
frequency of words in a language
|
| gptkbp:drawings |
the distribution of names
|
| gptkbp:hasPrograms |
economics
|
| https://www.w3.org/2000/01/rdf-schema#label |
Zipf's law
|
| gptkbp:is_a |
language use
power law |
| gptkbp:is_a_document_that |
most items are rare
|
| gptkbp:is_a_model_for |
information distribution
describes the relationship between rank and frequency. |
| gptkbp:is_a_platform_for |
analyzing text corpora
text mining techniques |
| gptkbp:is_a_subject_of |
linguistics
data science explains linguistic phenomena quantitative linguistics |
| gptkbp:is_a_tool_for |
data analysis
|
| gptkbp:is_available_in |
a rank-frequency plot
|
| gptkbp:is_essential_for |
computational linguistics
language evolution |
| gptkbp:is_monitored_by |
word frequency distributions
|
| gptkbp:is_studied_in |
linguists
cultural phenomena |
| gptkbp:is_used_in |
gptkb:Benford's_law
academic research information theory sociolinguistics text data machine learning models empirical data information entropy |
| gptkbp:legal_principle |
helps in understanding data distributions
|
| gptkbp:previousName |
gptkb:George_Zipf
|
| gptkbp:related_to |
Pareto principle
social_sciences |
| gptkbp:state |
the frequency of any word is inversely proportional to its rank
|
| gptkbp:suitableFor |
social networks
a few items are very common |
| gptkbp:usedFor |
word usage patterns
|
| gptkbp:visitedBy |
biological systems
information retrieval music popularity city populations internet search queries |