Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
In computing, plain text is a loose term for unformatted text or nontextual data represented as text (e.g. file contents) using printable characters (for example letters, digits, symbols, spaces, tabs, line breaks) in a character encoding. In principle, plain text can be in any encoding, but today usually implies UTF-8.
Usage, Plain text and rich text & Encoding
Explore the main themes, entities and connections around Plain text. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. 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.
See the strongest relationship patterns around the current topic before diving into the raw triples.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
text plain file files encoding used character binary also characters example data using letters often however line encoded parts like
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Plain text | is a | loose term for unformatted text or nontextual data represented as text | 0.90 | text |
| Plain text | is a | pure sequence of character codes | 0.90 | text |
| paragraphs | instance of | where structural parts of the document | 0.80 | text |
| sections | instance of | where structural parts of the document | 0.80 | text |
| and the like are identified | instance of | where structural parts of the document | 0.80 | text |
| a language identifier | instance of | is any text representation containing plain text plus added information | 0.80 | text |
| font size | instance of | is any text representation containing plain text plus added information | 0.80 | text |
| color | instance of | is any text representation containing plain text plus added information | 0.80 | text |
| hypertext links | instance of | is any text representation containing plain text plus added information | 0.80 | text |
| and so on.SGML | instance of | is any text representation containing plain text plus added information | 0.80 | text |
| RTF | instance of | is any text representation containing plain text plus added information | 0.80 | text |
| HTML | instance of | is any text representation containing plain text plus added information | 0.80 | text |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.