DSC766: Text Analytics / College of Computing, Informatics and Mathematics
This course will cover the major techniques for mining and analysing unstructured text data to discover interesting patterns, extract useful knowledge, and support decision making, with an emphasis on statistical approaches that can be generally applied to arbitrary text data in any natural language...
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Universiti Teknologi MARA (UiTM)
2020
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Online Access: | https://ir.uitm.edu.my/id/eprint/92467/1/92467.pdf https://ir.uitm.edu.my/id/eprint/92467/ https://aims.uitm.edu.my/ |
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my.uitm.ir.924672024-03-13T04:09:42Z https://ir.uitm.edu.my/id/eprint/92467/ DSC766: Text Analytics / College of Computing, Informatics and Mathematics UiTM, College of Computing, Informatics and Mathematics Curriculum Universiti Teknologi MARA This course will cover the major techniques for mining and analysing unstructured text data to discover interesting patterns, extract useful knowledge, and support decision making, with an emphasis on statistical approaches that can be generally applied to arbitrary text data in any natural language with no or minimum human effort. Detailed analysis of text data requires understanding of natural language text, which is known to be a difficult task for computers. However, a number of statistical approaches have been shown to work well for the "shallow" but robust analysis of text data for pattern finding and knowledge discovery. Student will learn the basic concepts, principles, and major algorithms in text mining and their potential applications. Universiti Teknologi MARA (UiTM) 2020 Teaching Resource NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/92467/1/92467.pdf DSC766: Text Analytics / College of Computing, Informatics and Mathematics. (2020) [Teaching Resource] (Unpublished) https://aims.uitm.edu.my/ |
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Curriculum Universiti Teknologi MARA UiTM, College of Computing, Informatics and Mathematics DSC766: Text Analytics / College of Computing, Informatics and Mathematics |
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This course will cover the major techniques for mining and analysing unstructured text data to discover interesting patterns, extract useful knowledge, and support decision making, with an emphasis on statistical approaches that can be generally applied to arbitrary text data in any natural language with no or minimum human effort. Detailed analysis of text data requires understanding of natural language text, which is known to be a difficult task for computers. However, a number of statistical approaches have been shown to work well for the "shallow" but robust analysis of text data for pattern finding and knowledge discovery. Student will learn the basic concepts, principles, and major algorithms in text mining and their potential applications. |
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Teaching Resource |
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UiTM, College of Computing, Informatics and Mathematics |
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UiTM, College of Computing, Informatics and Mathematics |
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UiTM, College of Computing, Informatics and Mathematics |
title |
DSC766: Text Analytics / College of Computing, Informatics and Mathematics |
title_short |
DSC766: Text Analytics / College of Computing, Informatics and Mathematics |
title_full |
DSC766: Text Analytics / College of Computing, Informatics and Mathematics |
title_fullStr |
DSC766: Text Analytics / College of Computing, Informatics and Mathematics |
title_full_unstemmed |
DSC766: Text Analytics / College of Computing, Informatics and Mathematics |
title_sort |
dsc766: text analytics / college of computing, informatics and mathematics |
publisher |
Universiti Teknologi MARA (UiTM) |
publishDate |
2020 |
url |
https://ir.uitm.edu.my/id/eprint/92467/1/92467.pdf https://ir.uitm.edu.my/id/eprint/92467/ https://aims.uitm.edu.my/ |
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1794641489535434752 |
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13.18916 |