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Document-term matrix: History, Applications & Companies

A document-term matrix is a mathematical matrix that describes the frequency of terms that occur in each document in a collection. In a document-term matrix, rows correspond to documents in the collection and columns correspond to terms. This matrix is a specific instance of a document-feature matrix where "features" may refer to other properties of a…

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Document-term matrix topic overview

The analysis highlights History, Applications and Companies as prominent areas in the source structure around Document-term matrix.

Related topics
27
Source areas
5
Connected nodes
32
Extracted relationships
38
Concept neighborhoods
16
Bridge connections
32

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Applications · 11 topics
Overview · 5 topics
Choice of terms · 4 topics
General concept · 4 topics
History of the concept · 3 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

General concept

History of the concept

Choice of terms

Applications

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Document-term matrix connects Entity context

The extracted context around Document-term matrix shows recurring relationship patterns in the source. For example, Document-term matrix → Borko, Descriptor Word Index Program, Eileen Stone, Every Allowable Term, FEAT, Frequency, Harold Borko's, John, Olney, One, System Development Corporation, The, While Another extracted example is Document-term matrix → As, D1, D2, Each, For, When. Use these groups to spot repeated connection types before inspecting the individual relationships.

Document-term matrix

Top relations

related to history · 13
Document-term matrix → Borko, Descriptor Word Index Program, Eileen Stone, Every Allowable Term, FEAT, Frequency, Harold Borko's, John, Olney, One, System Development Corporation, The, While
related to General concept · 6
Document-term matrix → As, D1, D2, Each, For, When
related to Choice of terms · 5
Document-term matrix → Adding, In, Indo-European, It, The
related to Finding topics · 3
Document-term matrix → Latent Dirichlet, Multivariate, Specifically
related to Improving search results · 3
Document-term matrix → However, Latent, LSA
is a · 1
Document-term matrix → mathematical matrix that describes the frequency of terms that occur in each document in a collection

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

matrix terms document document-term frequency words documents word also term counts analysis corpus text rows system written program used common

Document-term matrix relationships Subject–Predicate–Object triples

TTTA extracted 38 structured relationships around Document-term matrix. Examples in this analysis include Document-term matrix → is a → mathematical matrix that describes the frequency of terms that occur in each document in a collection and row normalizing → instance of → there are various schemes for weighting the raw counts. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Document-term matrixis amathematical matrix that describes the frequency of terms that occur in each document in a collection0.90text
row normalizinginstance ofthere are various schemes for weighting the raw counts0.80text
andinstance ofCertain function words0.80text
theinstance ofCertain function words0.80text
atinstance ofCertain function words0.80text
ainstance ofCertain function words0.80text
etc.instance ofCertain function words0.80text
were placed in ainstance ofCertain function words0.80text
Document-term matrixrelated to Choice of termsIn0.60section
Document-term matrixrelated to Choice of termsThe0.60section
Document-term matrixrelated to Choice of termsIt0.60section
Document-term matrixrelated to Choice of termsIndo-European0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Document-term matrix bring nearby vocabulary together. In this analysis, examples include Matrix, Terms and Also. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Document-term matrix
    • Matrix
    • Terms
    • Also
    • One
    • Published
    • Document
    • Corpus
    • Analysis
    • Documents
    • Appear
    • Collection
    • Columns
  • document-term matrix
    • Matrix
    • Terms
    • Also
    • One
    • Published
    • Document
    • Corpus
    • Used
    • Analysis
    • Documents
    • Columns
    • Rows
  • matrix
    • Terms
    • Used
    • Analysis
    • Also
    • Documents
    • Columns
    • Rows
    • Semantic
    • Corpus
    • Word
    • Appear
    • Search
  • bag of words
    • Individual
    • Frequency
    • Document
    • Word
    • Terms
    • Counts
    • Document-term
    • Commonly
    • Based
    • Collection
    • Given
    • Search
  • polysemous words
    • Individual
    • Frequency
    • Document
    • Word
    • Terms
    • Counts
    • Document-term
    • Commonly
    • Based
    • Collection
    • Given
    • Search
  • non-negative matrix factorization
    • Terms
    • Used
    • Analysis
    • Also
    • Documents
    • Columns
    • Rows
    • Semantic
    • Corpus
    • Word
    • Appear
    • Search
  • documents
    • Terms
    • Rows
    • Also
    • Appear
    • Matrix
    • Given
    • Search
    • See
    • Common
    • Corporation
    • Development
    • One
  • computational text analysis
    • Semantic
    • Program
    • Used
    • Written
    • Document-term
    • Matrix
    • Tf-idf
    • Word
    • Every
    • Search
    • Corpus
    • Text

Connections between topic areas Semantic bridges

For Document-term matrix, one of the stronger structural bridges in this analysis connects Document-term matrix with Applications. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Document-term matrix — Applications · splits 21 ⟂ 12
Document-term matrix — Overview · splits 27 ⟂ 6
Document-term matrix — General concept · splits 28 ⟂ 5
Document-term matrix — Choice of terms · splits 28 ⟂ 5
Document-term matrix — History of the concept · splits 29 ⟂ 4

Map overview Semantic statistics

Document-term matrix

Nodes33
Edges32
Triples38
Avg. degree1.94
Density0.060606
Components1

Source & methodology

TTTA analyzes the structure around Document-term matrix to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Applications & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Document-term matrix · EN edition · Analysis: TopicsToTalkAbout

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