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Ontology-Driven Sentiment Analysis of Product and Service Aspects
Published on 2018-07-10753 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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Presentation
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