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AI-Driven Sentiment Classification via Combinatorial Techniques and Reasoning

Year: 2024

Type: article

Abstract: 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.

Source: International Journal of Information Technology Research and Applications

DOI: 10.59461/ijitra.v3i4.121

Authors: Devi Vaishnavi Maddali, Merlin Christo Franklin, Tarun V, Divyabharathi L, Sri Nithi Murali

Institution: Rajalakshmi Engineering College

Language: English

Topic: Sentiment Analysis and Opinion Mining

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4405804560

FWCI:

Cites: 7

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Related to: 10