michicho / author-identification-task

project implementation and codes for finding who wrote the given texts (using NLP)

#Author-Identification-from-text

Authorship identification has been a very important and practical problem in Natural Language Processing. The problem is to identify the author of a document from a given list of possible authors. A large amount of work exists on this problem in literature. We develop ideas based on this work in order to build our own model for authorship identification. We also take a model from this work as a baseline for comparing the results. Our model for the task is a text classifier based on logistic regression which includes n-grams, style markers and document finger-printing as features.

Dataset

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Reuter_50_50 is the dataset used. It is present in directories training/ , testing/ and all. It contains 50 text file for 50 authors. Each text file contains several lines for that author.

Requirements

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python with common ML and NLP libraries like Scikit-learn,Theano,Nltk etc.

Organization

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learner.py is the main file . run it to see the output.

More Details

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coming soon

Contributing

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1. Fork it!
2. Create your feature branch: git checkout -b my-new-feature
3. Commit your changes: git commit -am 'Add some feature'
4. Push to the branch: git push origin my-new-feature
5. Submit a pull request :D

Credits

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Devansh Dalal
Abhishek