Systematic Mapping Topic Modelling

SMTM attempts to automate systematic mapping studies by leveraging Latent Dirichlet Allocation (LDA) through topic modeling for efficient and comprehensive literature reviews.

Getting Started

Clone the repository.

Prerequisites

Python 3.8 or higher. Dependencies are listed in the requirements.txt file:

pip install -r requirements.txt

Project Structure

The project is modular and structured as follows:

• data/: Data storage.

• src/: source code divided into submodules based on their role in the pipeline.

• docs/: Documentation.

Modules

1. data_extraction/: Webcrawls data from the unArXive source.

2. preprocessing/: Sanitizes the input for topic modeling.

3. topic_modeling/: Implements the Latent Dirichlet Allocation (LDA) model.

4. selection/: Matching algorithm.

5. mapping/: Maps the results from topic modelling and selection.

Authors

• Tipu