A Literature Review On XAI And NLP Models For Sentimental Analysis

  • Unique Paper ID: 160608
  • PageNo: 729-731
  • Abstract:
  • The usage of artificial intelligence (AI) systems has increased significantly over the past few years. We have seen AI systems being implemented even for simple decision support systems. But the usage of black box models has created a major distrust among the regular users of the system. An AI system is expected to give accurate predictions still, it is also crucial that the decisions made by the AI systems are humanly interpretable i.e. anyone using the system should be able to understand and comprehend the results produced by the AI system. In this paper, we discuss the use of explainability methods such as LIME and SHAP to interpret the results of various black box models

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{160608,
        author = {Shravan Nilesh Shah},
        title = {A Literature Review On XAI And NLP Models For Sentimental Analysis},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {1},
        pages = {729-731},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=160608},
        abstract = {The usage of artificial intelligence (AI) systems has increased significantly over the past few years. We have seen AI systems being implemented even for simple decision support systems. But the usage of black box models has created a major distrust among the regular users of the system. An AI system is expected to give accurate predictions still, it is also crucial that the decisions made by the AI systems are humanly interpretable i.e. anyone using the system should be able to understand and comprehend the results produced by the AI system. In this paper, we discuss the use of explainability methods such as LIME and SHAP to interpret the results of various black box models},
        keywords = {LIME, SHAP, Bag of words, TF-IDF, Logistic Regression},
        month = {},
        }

Cite This Article

Shah, S. N. (). A Literature Review On XAI And NLP Models For Sentimental Analysis. International Journal of Innovative Research in Technology (IJIRT), 10(1), 729–731.

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