A smart question tagging and matching system using traditional ML and NLP. It finds similar questions, tags them, and groups related ones to reduce duplicates. Built with TF-IDF, cosine similarity , KMeans & XgBoost, GBDT,Logistic Regression for fast, scalable, and real-world use.
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A smart question tagging and matching system using traditional ML and NLP. It finds similar questions, tags them, and groups related ones to reduce duplicates. Built with TF-IDF, cosine similarity , KMeans & XgBoost, GBDT,Logistic Regression for fast, scalable, and real-world use.
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sAI-2025/Quera-Semantic-question-search-and-tagging
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A smart question tagging and matching system using traditional ML and NLP. It finds similar questions, tags them, and groups related ones to reduce duplicates. Built with TF-IDF, cosine similarity , KMeans & XgBoost, GBDT,Logistic Regression for fast, scalable, and real-world use.
Topics
nlp
natural-language-processing
machine-learning-algorithms
feature-selection
classification
logistic-regression
tf-idf
feature-engineering
hyperparameter-tuning
decision-tree-classifier
kmeans-clustering
glove-embeddings
gbdt-model
xgboost-classifier
classical-machine-learning
w2vec-model
ramdom-forest
logisticregression-classifier
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