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classification-svm's Introduction

Once the repository is cloned follow below steps to install required models from nltk

First download below 3 Models from nltk by running nltk.download() from python terminal

  • Averaged Perceptron Tagger
  • Treebank Part of Speech Tagger
  • Punk Tokenizer Models

Once necessary models are installed follow below steps to execute the code

  • run python process-data.py first to process the downloaded data
  • run python author-classify.py to initiate the classification process for the test data

Phase one accuracy

Evaluation results: Number of file pairs classified correctly: 34 Number of file pairs Incorrectly classified: 0 Number of file pairs Unclassified: 13 Accurate percentage: 72.34%

Texts are downloaded from http://www.gutenberg.org/

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