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author-identification

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The objective of the project is to train an LSTM model with the help of GloVe embeddings, to predict probabilities that a given text is written by particular authors. Furthermore, these probabilities are used to predict the author of the text in a multiclass classification setup.

  • Updated May 18, 2023
  • Jupyter Notebook

This software is an implementation of Author Profiling Model in 4 languages. 1. English 2. Arabic 3. Portugese 4. Spanish Authors are profiled on the basis of Gender and Region. The Model is trained over PAN 2107 provided Twitter data of various users. Currently for size concerns 20 data files from each language is included into pan folder for t…

  • Updated Jul 14, 2020
  • C#

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