On-Line Applications
In this page you find some on-line applications of my previous researches in Text Mining
field. Even, you find some other interesting applications in computer science.
Arabic Stemming
For further details about the Arabic light stemmer and how it works, check out the technical article.
IMPORTANT: You should put each word to be stemmed in a single line. Otherwise, if you put two or more words in a single line, then they will be considered as a single word.
IMPORTANT: You should put each word to be stemmed in a single line. Otherwise, if you put two or more words in a single line, then they will be considered as a single word.
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Language Identification
For further details about the algorithms and how they work, check out the technical articles
describing them (refer to publications).
NOTE: the available algorithms are featured with only 32 languages of the DLI32 dataset (French, English, Arabic, Russian, German, Italian, Greek, Spanish, Persian, Chinese, Turkish, Finnish, Hebrew, Roman, Latin, Polish, Swedish, Hindi, Thai, Indonesian, Malay, Norwegian, Danish, Dutch, Bulgarian, Hungarian, Irish, Icelandic, Czech, Albanian, Portuguese and Urdu).
NOTE: the available algorithms are featured with only 32 languages of the DLI32 dataset (French, English, Arabic, Russian, German, Italian, Greek, Spanish, Persian, Chinese, Turkish, Finnish, Hebrew, Roman, Latin, Polish, Swedish, Hindi, Thai, Indonesian, Malay, Norwegian, Danish, Dutch, Bulgarian, Hungarian, Irish, Icelandic, Czech, Albanian, Portuguese and Urdu).
