Sentiment and topic classification of messages on Twitter : and using the results to interact with Twitter users
We classify messages posted to social media network Twitter based on the sentiment and topic of the messages. We use the results of the classification to sometimes generate responses that are sent to the original user and their network on Twitter using natural language processing. A network of users...
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| Format: | Others |
| Language: | English |
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Uppsala universitet, Tillämpad matematik och statistik
2016
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-294364 |