AI ProjectsTweetFuzzy GATwitter ClassificationGenetic AlgorithmFuzzy LogicNLPEvent DetectionMaster Thesis
TweetFuzzy GA - Twitter Text Classification using Genetic Algorithm & Fuzzy Logic
An intelligent research platform for Twitter text classification and relevance evaluation using Fuzzy Logic and Genetic Algorithms.
Beneficiary
Academic Researchers, Disaster Management Agencies, Social Media Analytics Teams & Content Moderation Labs
Project Year
2019
Project Details
TweetFuzzy GA is a master's thesis research platform designed to classify Twitter text for event detection and relevance scoring. By combining Fuzzy Logic reasoning with Genetic Algorithm (GA) optimization, the system evaluates linguistic and metadata features such as Keyword Match, Semantic Similarity, Urgency Signal, Source Credibility, and Noise Level. The GA engine optimizes feature weight chromosomes and decision thresholds to maximize accuracy, precision, recall, and F1 scores.
Technologies
Python (Genetic Algorithm Engine / Fuzzy Inference System)NLP (Natural Language Processing)
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