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Representation of a Sentence using a Polar Fuzzy Neutrosophic Semantic Net
- Source :
- International Journal of Advanced Computer Science and Applications, Special Issue on Natural Language Processing, Volume 4, Issue 1, April 2014, pp. 1-8
- Publication Year :
- 2014
-
Abstract
- A semantic net can be used to represent a sentence. A sentence in a language contains semantics which are polar in nature, that is, semantics which are positive, neutral and negative. Neutrosophy is a relatively new field of science which can be used to mathematically represent triads of concepts. These triads include truth, indeterminacy and falsehood, and so also positivity, neutrality and negativity. Thus a conventional semantic net has been extended in this paper using neutrosophy into a Polar Fuzzy Neutrosophic Semantic Net. A Polar Fuzzy Neutrosophic Semantic Net has been implemented in MATLAB and has been used to illustrate a polar sentence in English language. The paper demonstrates a method for the representation of polarity in a computers memory. Thus, polar concepts can be applied to imbibe a machine such as a robot, with emotions, making machine emotion representation possible.<br />Comment: arXiv admin note: text overlap with arXiv:math/0101228, arXiv:math/0412424, arXiv:math/0306384 by other authors
- Subjects :
- Computer Science - Artificial Intelligence
Subjects
Details
- Database :
- arXiv
- Journal :
- International Journal of Advanced Computer Science and Applications, Special Issue on Natural Language Processing, Volume 4, Issue 1, April 2014, pp. 1-8
- Publication Type :
- Report
- Accession number :
- edsarx.1405.0423
- Document Type :
- Working Paper
- Full Text :
- https://doi.org/10.14569/SpecialIssue.2014.040101