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 computer’s memory. Thus, polar concepts can be applied to imbibe a machine such as a robot, with emotions, making machine emotion representation possible.

Sachin Lakra, T. V. Prasad and G. Ramakrishna, “Representation of a Sentence using a Polar Fuzzy Neutrosophic Semantic Net” International Journal of Advanced Computer Science and Applications(IJACSA), Special Issue on Natural Language Processing 2014, 2014. http://dx.doi.org/10.14569/SpecialIssue.2014.040101

@article{Lakra2014,
title = {Representation of a Sentence using a Polar Fuzzy Neutrosophic Semantic Net},
journal = {International Journal of Advanced Computer Science and Applications(IJACSA), Special Issue on Natural Language Processing 2014}
doi = {10.14569/SpecialIssue.2014.040101},
url = {http://dx.doi.org/10.14569/SpecialIssue.2014.040101},
year = {2014},
publisher = {The Science and Information Organization},
volume = {4},
number = {1},
author = {Sachin Lakra and T. V. Prasad and G. Ramakrishna},
}