| Research Title |
Sentiment Analysis Process for Product’s Customer Reviews Using Ontology-Based Approach |
| Date of Distribution |
28 June 2018 |
| Conference |
| Title of the Conference |
The International Conference on System Science and Engineering 2018 (ICSSE 2018) |
| Organiser |
National Taipei University |
| Conference Place |
National Taipei University |
| Province/State |
Sanxia Campus |
| Conference Date |
28 June 2018 |
| To |
30 June 2018 |
| Proceeding Paper |
| Volume |
2018 |
| Issue |
6 |
| Page |
0 |
| Editors/edition/publisher |
|
| Abstract |
Nowadays the data from the social network were abundantly utilized to help the customers to make decisions on selecting the products. In fact, many research studies still encountered the semantic conflicts of words or synonymous words. In addition, it appeared the errors of the algorithm of SentiWordNet in scoring the positive and negative words in some sentences. As the result, this present study aimed to solve the above-mentioned problems through DBpedia to solve the different meanings of the language, to develop the algorithm for solving the problem of SentiWordNet, and to create the user interface for retrieving the products in the form of keywords in order to help the customers to make decisions on selecting the products. The efficiency measurement of the sentiment analysis for this present study was 94%. |
| Author |
|
| Peer Review Status |
มีผู้ประเมินอิสระ |
| Level of Conference |
นานาชาติ |
| Type of Proceeding |
Full paper |
| Type of Presentation |
Oral |
| Part of thesis |
true |
| Presentation awarding |
false |
| Attach file |
|
| Citation |
0
|
|
|
Publication
Journal Publication
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