Sentiment analysis of Swedish social media : Using random indexing to improve cross-domain sentiment classification
Social media has grown extremely fast in recent years andin the vast number of posts being made everyday people expresstheir opinions about all kinds of topics. These opinionsare very valuable and there is a need for a way toautomatically identify and extract them. This is what sentimentanalysis is...
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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-156249 |