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Quora Insincere Questions Classification

Tested Approaches:

I. Probabilistic Modelling

  1. TF-IDF based Vectorization w/o Lemmatization + Logistic Regression
  2. TF-IDF based Vectorization w/o Lemmatization + Multinomial Naive Bayes Classification

II. Deep Learning

  1. Selected Hyperparameter values for max_features (Number of words learned by Keras Tokenizer) & maxlen (Maximum permissible Length of Sequence).
  2. Unpacked GLoVe (Global Vectors for Word Representation) Embeddings for Keras API's Embedding Layer
  3. Trained a Recurrent Neural Network using GLoVe Embeddings and obtained an accuracy of 95.62% during Cross Validation.

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A GLoVe + RNN based solution for the Quora Insincere Questions Binary Classification Challenge on Kaggle

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