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WordPerfect (WP) is a word processing application, now owned by Corel. At the height of its popularity in the 1980s and early 1990s, it was the market leader of word processors, displacing the previous market leader, WordStar.
The analysis highlights History, Companies and Products as prominent areas in the source structure around WordPerfect.
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around WordPerfect shows recurring relationship patterns in the source. For example, WordPerfect → All, Although, Another, Applications, Corel Linux, Corel WordPerfect Office, CorelCentral, December, Dragon Naturally Speaking, Family Pack, FreeSpeech, It, January, Linux, March, May, Microsoft Visual Basic, NaturallySpeaking Standard, North America, November Another extracted example is WordPerfect → According, After Windows, American Institute, Ashton-Tate, Ashton-Tate's, By, Certified Public Accountants, Computer Intelligence, Computerworld, Dataquest, DOS, Fortune, IBM, Lotus Development, MicroPro's, Microsoft, Microsoft's, PC, Ronni Marshak, The Office Computing Report. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
version windows corel office dos microsoft word suite novell market software released versions support program also users linux corporation macros
TTTA extracted 490 structured relationships around WordPerfect. Examples in this analysis include WordPerfect → Developers → WordPerfect Corporation Novell Corel and WordPerfect → License → Proprietary. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| WordPerfect | Developers | WordPerfect Corporation Novell Corel | 1.00 | infobox |
| WordPerfect | License | Proprietary | 1.00 | infobox |
| WordPerfect | Operating system | Windows 7 and later Old versions: See § Version history | 1.00 | infobox |
| WordPerfect | Original authors | Brigham Young University Satellite Software International (SSI) | 1.00 | infobox |
| WordPerfect | Platform | IA-32 | 1.00 | infobox |
| WordPerfect | Release | 1979; 47 years ago (1979) | 1.00 | infobox |
| WordPerfect | Stable release | 2021 / May 2021 | 1.00 | infobox |
| WordPerfect | Type | Word processor | 1.00 | infobox |
| WordPerfect | Website | www.wordperfect.com/en/ | 1.00 | infobox |
| WordPerfect | is a | good professional writer's tool | 0.90 | text |
| Tandy 2000 | instance of | with versions for various non-PC compatibles | 0.80 | text |
| DEC Rainbow | instance of | with versions for various non-PC compatibles | 0.80 | text |
The concept neighborhoods around WordPerfect bring nearby vocabulary together. In this analysis, examples include Version, Office and Windows. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For WordPerfect, one of the stronger structural bridges in this analysis connects WordPerfect with WordPerfect for DOS. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around WordPerfect to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Companies & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — WordPerfect · EN edition · Analysis: TopicsToTalkAbout