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https://github.com/jiegzhan/multi-class-text-classification-cnn-rnn

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.
https://github.com/jiegzhan/multi-class-text-classification-cnn-rnn

cnn embeddings kaggle lstm rnn tensorflow text-classification

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Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

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### Project: Classify Kaggle San Francisco Crime Description

### Highlights:
- This is a **multi-class text classification (sentence classification)** problem.
- The goal of this project is to **classify Kaggle San Francisco Crime Description into 39 classes**.
- This model was built with **CNN, RNN (LSTM and GRU) and Word Embeddings** on **Tensorflow**.

### Data: [Kaggle San Francisco Crime](https://www.kaggle.com/c/sf-crime/data)
- Input: **Descript**
- Output: **Category**
- Examples:

Descript | Category
-----------|-----------
GRAND THEFT FROM LOCKED AUTO|LARCENY/THEFT
POSSESSION OF NARCOTICS PARAPHERNALIA|DRUG/NARCOTIC
AIDED CASE, MENTAL DISTURBED|NON-CRIMINAL
AGGRAVATED ASSAULT WITH BODILY FORCE|ASSAULT
ATTEMPTED ROBBERY ON THE STREET WITH A GUN|ROBBERY

### Train:
- Command: python3 train.py train_data.file train_parameters.json
- Example: ```python3 train.py ./data/train.csv.zip ./training_config.json```

### Predict:
- Command: python3 predict.py ./trained_results_dir/ new_data.csv
- Example: ```python3 predict.py ./trained_results_1478563595/ ./data/small_samples.csv```

### Reference:
- [Implement a cnn for text classification in tensorflow](http://www.wildml.com/2015/12/implementing-a-cnn-for-text-classification-in-tensorflow/)