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Ontology-Driven Sentiment Analysis of Product and Service Aspects
Published on Jul 10, 2018748 Views
With so much opinionated, but unstructured, data available on the Web, sentiment analysis has become popular with both companies and researchers. Aspect-based sentiment analysis goes one step further
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Chapter list
Ontology-Driven Sentiment Analysis of Product and Service Aspects00:00
Problem statement00:08
Role of ontology01:27
Data Snippet03:25
Purpose of ontology - 103:49
Purpose of ontology - 305:01
Purpose of ontology - 406:13
Sentiment classification - 107:41
Sentiment classification - 207:44
Sentiment classification - 309:45
The bag-of-words model10:51
The alternative bag-of-words model (BoW+Ont)11:34
Sentiment distribution (2016 data set)11:58
Results SemEval-2015 data12:46
Results SemEval-2016 data13:24
Data size sensitivity analysis (SemEval-2015 data)14:12
Data size sensitivity analysis (SemEval-2016 data)14:42
Performance of Ont and BoW per scenario15:16
Conclusions17:32
Future Work18:27
Questions?20:31