1. Date of download: 11/4/2017
Copyright © ASME. All rights reserved.
From: Sentiment Root Cause Analysis Based on Fuzzy Formal Concept Analysis and Fuzzy Cognitive Map
J. Comput. Inf. Sci. Eng. 2016;16(3): doi: /
Figure Legend:
Fuzzy formal concept analysis

2. Date of download: 11/4/2017
Copyright © ASME. All rights reserved.
From: Sentiment Root Cause Analysis Based on Fuzzy Formal Concept Analysis and Fuzzy Cognitive Map
J. Comput. Inf. Sci. Eng. 2016;16(3): doi: /
Figure Legend:
Process of sentiment root cause analysis

3. Date of download: 11/4/2017
Copyright © ASME. All rights reserved.
From: Sentiment Root Cause Analysis Based on Fuzzy Formal Concept Analysis and Fuzzy Cognitive Map
J. Comput. Inf. Sci. Eng. 2016;16(3): doi: /
Figure Legend:
Merged sentiment ontology and factual ontology based on the feature ontology

4. Date of download: 11/4/2017
Copyright © ASME. All rights reserved.
From: Sentiment Root Cause Analysis Based on Fuzzy Formal Concept Analysis and Fuzzy Cognitive Map
J. Comput. Inf. Sci. Eng. 2016;16(3): doi: /
Figure Legend:
Merged sentiment ontology and factual ontology

5. Date of download: 11/4/2017
Copyright © ASME. All rights reserved.
From: Sentiment Root Cause Analysis Based on Fuzzy Formal Concept Analysis and Fuzzy Cognitive Map
J. Comput. Inf. Sci. Eng. 2016;16(3): doi: /
Figure Legend:
Hierarchical triple relation score

6. Date of download: 11/4/2017
Copyright © ASME. All rights reserved.
From: Sentiment Root Cause Analysis Based on Fuzzy Formal Concept Analysis and Fuzzy Cognitive Map
J. Comput. Inf. Sci. Eng. 2016;16(3): doi: /
Figure Legend:
Fuzzy cognitive map with relations

7. Date of download: 11/4/2017
Copyright © ASME. All rights reserved.
From: Sentiment Root Cause Analysis Based on Fuzzy Formal Concept Analysis and Fuzzy Cognitive Map
J. Comput. Inf. Sci. Eng. 2016;16(3): doi: /
Figure Legend:
Feature ontology tree based on WordNet similarity

8. Date of download: 11/4/2017
Copyright © ASME. All rights reserved.
From: Sentiment Root Cause Analysis Based on Fuzzy Formal Concept Analysis and Fuzzy Cognitive Map
J. Comput. Inf. Sci. Eng. 2016;16(3): doi: /
Figure Legend:
Factual ontology tree with feature ontology, product description, and neutral sentiment words

9. Date of download: 11/4/2017
Copyright © ASME. All rights reserved.
From: Sentiment Root Cause Analysis Based on Fuzzy Formal Concept Analysis and Fuzzy Cognitive Map
J. Comput. Inf. Sci. Eng. 2016;16(3): doi: /
Figure Legend:
Merged sentiment ontology based on the FFCA method and factual ontology based on the feature ontology

10. Date of download: 11/4/2017
Copyright © ASME. All rights reserved.
From: Sentiment Root Cause Analysis Based on Fuzzy Formal Concept Analysis and Fuzzy Cognitive Map
J. Comput. Inf. Sci. Eng. 2016;16(3): doi: /
Figure Legend:
Ratio of triple for information words, expressive words, and auxiliary words

11. Date of download: 11/4/2017
Copyright © ASME. All rights reserved.
From: Sentiment Root Cause Analysis Based on Fuzzy Formal Concept Analysis and Fuzzy Cognitive Map
J. Comput. Inf. Sci. Eng. 2016;16(3): doi: /
Figure Legend:
Accuracy of sentiment cause analysis compared with term frequency based analysis and feature based analysis

12. Date of download: 11/4/2017
Copyright © ASME. All rights reserved.
From: Sentiment Root Cause Analysis Based on Fuzzy Formal Concept Analysis and Fuzzy Cognitive Map
J. Comput. Inf. Sci. Eng. 2016;16(3): doi: /
Figure Legend:
Accuracy of sentiment root cause analysis as compared with term frequency-based analysis, feature-based analysis, and feature/sentiment word-based analysis

13. Date of download: 11/4/2017
Copyright © ASME. All rights reserved.
From: Sentiment Root Cause Analysis Based on Fuzzy Formal Concept Analysis and Fuzzy Cognitive Map
J. Comput. Inf. Sci. Eng. 2016;16(3): doi: /
Figure Legend:
Accuracy of sentiment root cause analysis as compared with sentiment score analysis, sentiment score analysis on informational sentiment words, and feature/sentiment word-based analysis

14. Date of download: 11/4/2017
Copyright © ASME. All rights reserved.
From: Sentiment Root Cause Analysis Based on Fuzzy Formal Concept Analysis and Fuzzy Cognitive Map
J. Comput. Inf. Sci. Eng. 2016;16(3): doi: /
Figure Legend:
Sentiment cause ontology with triple node score and triple relation score, which includes the hierarchical structure based on FFCA and the nonhierarchical structure method FCM-R