Journal article
A model for sentiment analysis based on ontology and cases
Revista IEEE América Latina, v 14(11), pp 4560-4566
Nov 2016
Abstract
This work intends to combine domain ontology with natural language processing techniques to identify the sentiment behind judgments aiming to provide an explanation for such polarization. Also, it intends to use the Case-Based Reasoning strategy in order to learn from past reasonings (polarizations) so they can be used in new polarizations. Some steps have been developed for treatment of negation, adequacy of sentiment lexicon for a domain and adaptation of ambiguous terms classification based on past ratings. Tests were developed in two distinct areas, digital cameras and movies, to justify the model evolution until its final proposal. It was observed that the accuracy obtained by the proposed model overcomes standard statistical approaches. These results demonstrate that the model contributes to the sentiment analysis area, both as a solution that provides high levels of accuracy, as well as the possibility to present the track to achieve a particular classification.
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Details
- Title
- A model for sentiment analysis based on ontology and cases
- Creators
- F Ceci - Universidade do Sul de Santa CatarinaA.L Goncalves - [Univ. Fed. de Santa Catarina, Florianopolis, Brazil]R Weber - Drexel University
- Publication Details
- Revista IEEE América Latina, v 14(11), pp 4560-4566
- Publisher
- IEEE
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000392405400023
- Scopus ID
- 2-s2.0-85008498865
- Other Identifier
- 991019167766404721
InCites Highlights
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Information Systems
- Engineering, Electrical & Electronic