Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/69144
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dc.contributor.authorYeo, Felicia Shu Mei
dc.date.accessioned2016-11-11T06:36:23Z
dc.date.available2016-11-11T06:36:23Z
dc.date.issued2016
dc.identifier.urihttp://hdl.handle.net/10356/69144
dc.description.abstractIn Singapore, the government has assigned four languages, namely English, Mandarin Chinese, Malay and Tamil, as the official languages of the state. English serves not only as the medium of instruction in education and administration, but also as a lingua franca of its multicultural society. Singapore English can be classified in two distinct varieties – Singapore Standard English and Singapore Colloquial English (also known as Singlish). While the former is generally used in formal contexts, the latter is preferred in informal communication, increasingly so in social media. To provide a more comprehensive understanding of the data available on social media, the scope of sentiment analysis has been broadened from English to other languages. However, the work on sentiment analysis for colloquial varieties like Singlish has been limited.en_US
dc.format.extent42 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineering::Computer science and engineeringen_US
dc.titleSinglish concept-level sentiment analysisen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorErik Cambriaen_US
dc.contributor.schoolSchool of Computer Engineeringen_US
dc.description.degreeBachelor of Engineering (Computer Science)en_US
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Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)
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