python-lda-topic-modeling-ec-laws

Topic Modeling using KTrain

Cluster the documents by topics they talk about.

Run

To run the model follow the steps:

  1. Clone the repository: 
    git clone https://github.com/ermalaliraj/python-lda-topic-modeling-ec-laws.git
cd python-lda-topic-modeling-ec-laws/ktrain
  2. Install Requirements: 
    pip install -r requirements.txt
  3. Train The Model: 
    python train_model.py
  4. Run the model: 
    python predict.py
  5. Enter your text. The model would predict the topic and other documents related to it.

Visualizations

Generate visualization file with documents distributions.

python visualize.py

Conclusions about Ktrain

- PROS:
    - Easy to implement
- CONS:
    - A document is not expressed as a distribution of Topics, instead as a single Topic.