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Classification of Documents Using Graph-Based Features and KNN This project offers hands-on experience with graph theory and machine learning, fostering skills in data representation, algorithm implementation, and analytical thinking in the context of document classification.

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ali7haider/Classification_of_Documents_Using_Graph-Based-Features_and_KNN_GT

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Classification_of_Documents_Using_Graph-Based-Features_and_KNN_GT

  • Project Title: Classification of Documents Using Graph-Based Features and KNN This project offers hands-on experience with graph theory and machine learning, fostering skills in data representation, algorithm implementation, and analytical thinking in the context of document classification.

Objective:

Develop a system to classify documents into predefined topics by representing each document as a directed graph, identifying common subgraphs, and applying the K-Nearest Neighbors (KNN) algorithm based on graph similarity measures.

Data Scrapped:

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Classification of Documents Using Graph-Based Features and KNN This project offers hands-on experience with graph theory and machine learning, fostering skills in data representation, algorithm implementation, and analytical thinking in the context of document classification.

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