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In linguistics, semantic analysis is the process of relating syntactic structures, from the levels of words, phrases, clauses, sentences and paragraphs to the level of the writing as a whole, to their language-independent meanings. It also involves removing features specific to particular linguistic and cultural contexts, to the extent that ...
Topic analysis consists of two main tasks: topic identification and text segmentation. While the first is a simple classification of a specific text, the latter case implies that a document may contain multiple topics, and the task of computerized text segmentation may be to discover these topics automatically and segment the text accordingly.
Colorless green ideas sleep furiously (Noam Chomsky): example that is grammatically correct but based on semantic combinations that are contradictory and therefore would not normally occur. Hold the news reader's nose squarely, waiter, or friendly milk will countermand my trousers. [26]
Discourse analysis (DA), or discourse studies, is an approach to the analysis of written, spoken, or sign language, including any significant semiotic event. [ citation needed ] The objects of discourse analysis ( discourse , writing, conversation, communicative event ) are variously defined in terms of coherent sequences of sentences ...
A popular example, often quoted in the field, is the phrase "How to wreck a nice beach", which sounds very similar to "How to recognize speech". [4] As this example shows, proper lexical segmentation depends on context and semantics which draws on the whole of human knowledge and experience, and would thus require advanced pattern recognition ...
In linguistics and discourse analysis, semantic macrostructures are the overall, global meanings of discourse, usually also described in terms of topic, gist, or upshot. These semantic macrostructures (global meanings or topics) are typically expressed in for instance the headlines and lead of a news report, or the title and the abstract of a ...
Part-of-speech tagging (which resolves some semantic ambiguity) is a related problem, and often a prerequisite for or a subproblem of syntactic parsing. Syntactic parses can be used for information extraction (e.g. event parsing, semantic role labelling, entity labelling) and may be further used to extract formal semantic representations.
The relation between topic/theme and comment/rheme/focus should not be confused with the topic-comment relation in Rhetorical Structure Theory-Discourse Treebank (RST-DT corpus) where it is defined as "a general statement or topic of discussion is introduced, after which a specific remark is made on the statement or topic". For example: "[As ...