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ExtraVision was a teletext service created and operated by the American television network CBS in the early to mid-1980s. It was carried in the vertical blanking interval of the video from local affiliate stations of the CBS network. It featured CBS program information, news, sports, weather, even subtitling for CBS programming (much like page 888 in…
The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around ExtraVision.
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 ExtraVision shows recurring relationship patterns in the source. For example, ExtraVision → America, ExtravisionEd Ellers, Print, Teletext, United States Another extracted example is ExtraVision → CBS. 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.
cbs teletext affiliate service nbc programming also local stations system closed-captioning captioning using due services 1984 wgbh pbs kcet wbtv
TTTA extracted 11 structured relationships around ExtraVision. Examples in this analysis include ExtraVision → Developer → CBS and ExtraVision → Discontinued → 1988. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| ExtraVision | Developer | CBS | 1.00 | infobox |
| ExtraVision | Discontinued | 1988 | 1.00 | infobox |
| ExtraVision | Launch date | 1983 | 1.00 | infobox |
| ExtraVision | Platform | NABTS | 1.00 | infobox |
| ExtraVision | Status | Discontinued | 1.00 | infobox |
| ExtraVision | Type | Teletext | 1.00 | infobox |
| ExtraVision | related to External links | 0.60 | section | |
| ExtraVision | related to External links | ExtravisionEd Ellers | 0.60 | section |
| ExtraVision | related to External links | Teletext | 0.60 | section |
| ExtraVision | related to External links | United States | 0.60 | section |
| ExtraVision | related to External links | America | 0.60 | section |
The concept neighborhoods around ExtraVision bring nearby vocabulary together. In this analysis, examples include Teletext, Service and Also. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Bridges highlight paths between different parts of the ExtraVision map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around ExtraVision to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Overview, Related Topics & Entities, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — ExtraVision · EN edition · Analysis: TopicsToTalkAbout