Sentiment analysis of Swedish social media : Using random indexing to improve cross-domain sentiment classification
Social media has grown extremely fast in recent years and in the vast number of posts being made everyday people express their opinions about all kinds of topics. These opinions are very valuable and there is a need for a way to automatically identify and extract them. This is what sentiment analys...
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| Format: | Others |
| Language: | English |
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KTH, Skolan för datavetenskap och kommunikation (CSC)
2014
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-153682 |