Framework for Sentiment Classification for Morphologically Rich Languages: A Case Study for Sinhala
This thesis presents a framework for sentiment analysis for morphologically rich languages. Sentiment analysis is the domain of analysing and extracting people's emotions, feelings, expressions, attitudes and experiences expressed in texts especially, in the digital media, such as web blogs, cu...
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| Format: | Others |
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Auckland University of Technology,
2017-06-13T02:45:42Z.
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| Online Access: | Get fulltext |