The AI-Driven Sentiment Classification via Combinatorial Techniques and Reasoning
DOI:
https://doi.org/10.59461/ijitra.v3i4.121Keywords:
Sentiment analysis, Permutation, AI Logics, Fuzzy LogicAbstract
This paper proposes an AI-driven approach to sentiment analysis, leveraging mathematical concepts such as permutations, along with logical reasoning techniques. The method involves splitting the text; permutations are used to extract n-grams. AI-driven logic is then applied for feature scoring. Finally, fuzzy logic integrates these scores to classify sentiments. This approach focuses on enhancing sentiment classification accuracy by blending AI-based features.
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Copyright (c) 2024 Devi Vaishnavi M, Merlin Christo Franklin, Tarun V, Divyabharathi L, Sri Nithi Murali
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.