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In linguistics, the topic, or theme, of a sentence is what is being talked about, and the comment (rheme or focus) is what is being said about the topic. This division into old vs. new content is called information structure. It is generally agreed that clauses are divided into topic vs. comment, but in certain cases, the boundary between them depends on…
The analysis highlights History, Realization of topic–comment and Overview as prominent areas in the source structure around Topic and comment.
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.
See recurring relationship patterns around Topic and comment before inspecting the individual extracted relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
topic sentence subject comment english languages focus theme example little girl dog defined may grammatical agent structure topics information clauses
TTTA extracted 24 structured relationships around Topic and comment. Examples in this analysis include these → instance of → it is possible to use other sentence structures to show the topic of the sentence and as for → instance of → A typical pattern for doing so is opening with a class of prepositions. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| these | instance of | it is possible to use other sentence structures to show the topic of the sentence | 0.80 | text |
| as for | instance of | A typical pattern for doing so is opening with a class of prepositions | 0.80 | text |
| as regards | instance of | A typical pattern for doing so is opening with a class of prepositions | 0.80 | text |
| regarding | instance of | A typical pattern for doing so is opening with a class of prepositions | 0.80 | text |
| concerning | instance of | A typical pattern for doing so is opening with a class of prepositions | 0.80 | text |
| respecting | instance of | A typical pattern for doing so is opening with a class of prepositions | 0.80 | text |
| on | instance of | A typical pattern for doing so is opening with a class of prepositions | 0.80 | text |
| re | instance of | A typical pattern for doing so is opening with a class of prepositions | 0.80 | text |
| and others | instance of | A typical pattern for doing so is opening with a class of prepositions | 0.80 | text |
| English | instance of | but in subject-prominent ones | 0.80 | text |
| it is merely an option | instance of | but in subject-prominent ones | 0.80 | text |
| which often is not invoked.In other languagesIn Japanese | instance of | but in subject-prominent ones | 0.80 | text |
The concept neighborhoods around Topic and comment bring nearby vocabulary together. In this analysis, examples include Rheme, Theme and Topic. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Topic and comment, one of the stronger structural bridges in this analysis connects Topic and comment with Realization of topic–comment. 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 Topic and comment to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Realization of topic–comment & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Topic and comment · EN edition · Analysis: TopicsToTalkAbout