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SentiCircles for Contextual and Conceptual Semantic Sentiment analysis of Twitter
Published on Jul 30, 20142059 Views
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Chapter list
SentiCircles - 100:00
OutLine00:14
Sentiment Analysis00:30
Conventional Text01:02
Twitter Data01:32
Sentiment Analysis Approaches02:23
Machine Learning02:39
Lexicon-based03:03
On Twitter? - 103:34
On Twitter? - 204:31
Twitter-specificLexicon-based Methods05:15
Thelwall-Lexicon & SentiStrength05:54
We Need..06:35
SentiCircles - 206:52
SentiCircles - 306:56
Contextual Semantics07:19
Capturing Contextual Semantics - 108:06
Capturing Contextual Semantics - 208:57
SentiCircles (Example)11:16
Overall Contextual Sentiment12:22
SentiCircles & Conceptual Semantics13:01
Enriching SentiCircles with Conceptual Semantics - 113:07
Enriching SentiCircles with Conceptual Semantics - 213:24
SentiCircles for Tweet-level Sentiment Analysis - 114:38
SentiCircles for Tweet-level Sentiment Analysis - 214:59
Tweet-level Sentiment Analysis15:26
Experiments16:01
Experimental Setup - 216:27
Results16:51
Sentiment Detection with Contextual Semantics16:53
SentiCircles vs. Lexicon-Labeling Methods17:23
SentiCircle vs.SentiStrength17:36
Why Such Variance..18:10
Experimental Setup - 118:41
Sentiment Detection with Conceptual Semantics19:33
Conclusion20:26
SentiCircles for Sentiment Analysis21:00
Thank You21:04