SLC Semantic Analysis System (SLCSAS) is a program that permits linguistics researchers, who create linguistic rules and want to extract and classify sentences following a set of semantic categories.
This program extracts, from a corpus of arabic, french or english documents, sentences satisfying a set of linguistic rules and belonging to defined semantic categories. Linguistic markers (whether they are positive or negative) are highlited in extracted sentences helping linguistics to verify the validity of their linguistic rules.
To get it go to https://github.com/moustafaalhajj/SLCSAS
Following are some obtained results on various corpus:
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Causes of pollution in Lebanon
download the corresponding rules.txt
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Automatic Identification of Arabic expressions related to future events in Lebanon’s economy
Download rules
Download semanticMap