GitHub - Yahya123-hub/Classification-of-Documents-Using-Graph-Based-Features-and-KNN: An innovative project that integrates graph theory and machine learning techniques to classify documents into predefined topics. By leveraging graph representations of documents and employing the K-Nearest Neighbors (KNN) algorithm, this project aims to provide a robust system for document classification

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 19 Commits
Presentation		Presentation
generated_subgraphs		generated_subgraphs
graphs		graphs
prepped graphs		prepped graphs
scraping		scraping
subgraphs		subgraphs
testing_graphs		testing_graphs
training_graphs		training_graphs
KNN.py		KNN.py
MCS.py		MCS.py
README.md		README.md
combining data.py		combining data.py
confusion matrix.png		confusion matrix.png
constructing relations.py		constructing relations.py
dividing data for testing.py		dividing data for testing.py
dividing data for training.py		dividing data for training.py
evaluation.py		evaluation.py
extracted_features.csv		extracted_features.csv
graphing.py		graphing.py
gt report.pdf		gt report.pdf
labels.txt		labels.txt
mcs_matrix.txt		mcs_matrix.txt
mining.py		mining.py
preprocessed_data.csv		preprocessed_data.csv
preprocessing.py		preprocessing.py
scraped_article_data.csv		scraped_article_data.csv
testing_data.csv		testing_data.csv
training_data.csv		training_data.csv
vector model training.py		vector model training.py
vector_labels.txt		vector_labels.txt
vector_results.txt		vector_results.txt
word_relationships.zip		word_relationships.zip

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An innovative project that integrates graph theory and machine learning techniques to classify documents into predefined topics. By leveraging graph representations of documents and employing the K-Nearest Neighbors (KNN) algorithm, this project aims to provide a robust system for document classification

nlp machine-learning cv image-processing data-visualization graph-theory document-classification

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