A multilingual semi-supervised approach in deriving Singlish sentic patterns for polarity detection
Due to the huge volume and linguistic variation of data shared online, accurate detection of the sentiment of a message (polarity detection) can no longer rely on human assessors or through simple lexicon keyword matching. This paper presents a semi-supervised approach in constructing essential tool...
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| Main Authors: | , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2016
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/4872 https://ink.library.smu.edu.sg/context/sis_research/article/5875/viewcontent/A_multilingual___PV.pdf |
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| Institution: | Singapore Management University |
| Language: | English |