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It's the primary tool for semantic analysis.
The ontology builder provides text extraction (e.g., using Autotags) for semantic analysis.
This paper presents an effective, novel and robust framework for semantic analysis of a soccer video possessing varying illumination conditions.
We propose a robust and efficient framework for semantic analysis of a soccer video possessing highly varying illumination conditions.
Our solution can benefit source coding mining, in which a key step is to tokenize names (i.e. terms) of variables, functions, classes, modules, etc. for semantic analysis.
The proposed text processing approach is based on lexicographic and semantic dictionaries along with state-of-the-art techniques for semantic analysis and context detection.
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(See the previous post on Adaptive Blue for an example of semantic analysis put arguably to better use).
Sentiment analysis is subset of semantic analysis.
Several studies have proposed that it might be involved in sentence processing [53], [54] either for the syntactic or for the semantic analysis of sentences [54].
For programs with reasonable error rates between 15%and30%0%, such as news, documentaries, and reports, speech can be used for finer semantic analysis, provided adequate techniques are proposed to compensate for the peculiarities of automatic transcripts.
In 1988 Scott Deerwester along with his team obtained a patent for latent semantic analysis (LSA).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com