An unsupervised multilingual approach for online social media topic identification
Social media data can be valuable in many ways. However, the vast amount of content shared and the linguistic variants of languages used on social media are making it very challenging for high-value topics to be identified. In this paper, we present an unsupervised multilingual approach for identify...
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| Main Authors: | , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2017
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/4873 https://ink.library.smu.edu.sg/context/sis_research/article/5876/viewcontent/An_unsupervised___PV.pdf |
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| Institution: | Singapore Management University |
| Language: | English |