GitHub repository: KunyuHe/Dimensionality-Reduction-for-Text-Classification-with-LDA
Primary language: Python
Description: This project applies Latent Dirichlet Allocation (LDA) as a preprocessing step for text classification tasks. Using the extracted topic distributions as encoding vectors, each document is represented as a linear combination of latent topics. The new representation has lower dimensionality and represents latent semantic structure of the raw text, which might help improve the performance of subsequent classification tasks.