Writing-Styles-Classification-Using-Stylometric-Analysis

✍️ An intelligent system that takes a document and classifies different writing styles within the document using stylometric techniques. (by Hassaan-Elahi)
Add to my DEV experience plagiarism-detection k-means-clustering authorship-attribution lexical-features readability-scores vocabulary-richness unsupervised-machine-learning principal-component-analysis clustering-algorithm writing-styles-detection intrinsic-plagiarism-detection stylometric-features writing-styles-extraction Artificial intelligence clustered-chunks-of-text authorship-analysis Natural Language Processing nlp-machine-learning self-archive-research stylometric-techniques
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    Or look into stylistic features and add them to xgboost classifier (https://github.com/ZILiAT-NASK/StyloMetrix - I used those combined with BERT last hidden state for fake news classification and got the best results so far - here repo if you wish to get some inspirations: https://github.com/MarBry111/Fake-News-Detection-for-Social-Media-Posts-in-Polish-Language , https://github.com/Hassaan-Elahi/Writing-Styles-Classification-Using-Stylometric-Analysis here some more inspirations for stylistic features) to enhance the results.

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Hassaan-Elahi/Writing-Styles-Classification-Using-Stylometric-Analysis is an open source project licensed under MIT License which is an OSI approved license.

The primary programming language of Writing-Styles-Classification-Using-Stylometric-Analysis is Python.

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