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.
Automatically categorize San Francisco crime descriptions into 39 distinct crime types. You provide unstructured text descriptions of incidents, and the system outputs a specific crime category, helping with consistent classification. This is ideal for law enforcement analysts or administrative staff who need to process and sort crime reports efficiently.
601 stars. No commits in the last 6 months.
Use this if you need to automatically and consistently classify short textual crime descriptions into predefined categories.
Not ideal if your crime descriptions are significantly different from San Francisco crime data or if you need to identify entirely new crime types not covered by the original 39 categories.
Stars
601
Forks
261
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 23, 2018
Commits (30d)
0
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