Classified sentences into one of Slovak, Czech, and English. Implemented relevant preprocessing steps, addressed the class imbalance in training set by employing the learned theory of Naive Bayes Models, and implementing subword units.
Classified sentences into one of Slovak, Czech, and English. Implemented relevant preprocessing steps, addressed the class imbalance in training set by employing the learned theory of Naive Bayes Models, and implementing subword units.
Explored and visualized dataset to identify key issues in training data
Preprocessed and cleaned dataset using relevant methods
Explored theory of Naive Bayes Modeling, and trained first model
Developed approach using learned theory to improve performance
Designed new approach using subwords to mitigate class imbalance problems
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