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Anonymous Author Matcher

Analyses the latent clues in writing styles and identifies the author if the database has content written by them.

Dataset

  • Posts and comments from 50 redditors are processed as per dataset_maker.ipynb and written to ./data.
  • Reusable ETL pipeline for training is in redditors_comments_dataset.py.

Modeling Strategy

  • Train a sequence encoder model to distinguish whether the two input sequences are written by same author by setting it up as a binary classification task.

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Analyses the latent clues in writing styles and identifies the author if the database already has content written by them.

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