Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Author profiling

Author profiling is the analysis of a given set of texts in an attempt to uncover various characteristics of the author based on stylistic- and content-based features, or to identify the author. Characteristics analysed commonly include age and gender, though more recent studies have looked at other characteristics, like personality traits and occupation.

Culture & Applications

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around Author profiling. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Techniques

Author profiling and the Internet

Applications

In popular culture

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.

Map overview Semantic statistics

Author profiling

Nodes107
Edges106
Triples91
Avg. degree1.98
Density0.018692
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

Author profiling

Top relations

related to Email · 15
Author profiling → Arabic, Big Five, Email, English, Further, HTML, Important, In, MIME, Multi-purpose Internet Mail Extensions, Multilingual, Obtained, Spanish, These, Through
related to Social media · 11
Author profiling → Another, As, Features, Researchers, The, The Social, There, This, Twitter, Users, While
related to Bot detection · 9
Author profiling → Author, However, In, Made, Social, Therefore, This, Twitter, United States
related to In popular culture · 8
Author profiling → Author, Discovery Channel, FBI, It, Manhunt, The, Unabomber, Unabomber's
related to Forensic linguistics · 6
Author profiling → Examples, In, Internet, This, Through, While
related to Library cataloguing · 6
Author profiling → Another, In, Support Vector Machine, SVMs, This, With
has application · 4
Author profiling → Although, Author, Depending, Internet
related to Author identification and influence tracing · 3
Author profiling → Author, In, Some
related to Marketing · 3
Author profiling → Author, In, This
related to Techniques · 3
Author profiling → For, The, Through

Important terminology Word statistics

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

Important terminology

author profiling social used content texts features data media based include identify may analysis also text algorithms characteristics gender textual

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Author profilingis aanalysis of a given set of texts in an attempt to uncover various characteristics of the author based on stylistic- and content-based features0.90text
personalityinstance ofAuthor profiling on digital texts has also enabled predictions of a wider range of author characteristics0.80text
incomeinstance ofAuthor profiling on digital texts has also enabled predictions of a wider range of author characteristics0.80text
occupation.The most effective attributes for author profiling on digital texts involve a combinations of stylisticinstance ofAuthor profiling on digital texts has also enabled predictions of a wider range of author characteristics0.80text
content featuresinstance ofAuthor profiling on digital texts has also enabled predictions of a wider range of author characteristics0.80text
spelling errorsinstance ofFeatures of irregularity include deviation from normal linguistic standards0.80text
unstandardised transliteration as with the substitution of letters with numbersinstance ofFeatures of irregularity include deviation from normal linguistic standards0.80text
shorthandsinstance ofFeatures of irregularity include deviation from normal linguistic standards0.80text
user-created abbreviations for phrasesinstance ofFeatures of irregularity include deviation from normal linguistic standards0.80text
et ceterainstance ofFeatures of irregularity include deviation from normal linguistic standards0.80text
which may pose a challenge to author profilinginstance ofFeatures of irregularity include deviation from normal linguistic standards0.80text
'status updatesinstance ofTextual data is obtained from Facebook for author profiling from user's personal posts0.80text

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.