User-level twitter polarity classification using a hybrid approach
Sentiment analysis often bring information and prediction about opinions. For a large corpus of opinions data on Twitter, it is always not simple to analyze due to different personal expression and the grammar level they use. Moreover, Emoji and slangs, abbreviation bring tougher challenge. Today, h...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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2017
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| Online Access: | http://hdl.handle.net/10356/73008 |