Abstract:Social networking sites such as Twitter provide more opportunities to express what people think or intend in short text. In short text, abbreviations such as "ASAP" or "joinus" and emoticons are often used. Because these expressions are not registered into the existing dictionaries, these are analyzed as unknown expressions. That can be a bottleneck for improving accuracy of reputation analysis in text mining. To use context for unknown word clustering is a major method, however, it usually requires word segme… Show more
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