mimno/mallet

MALLET is a Java toolkit for turning text into machine-learning representations and applying them to classification, clustering, sequence prediction and extraction, topic modeling, embeddings, and regression. A typical workflow starts with input instances, transforms them through reusable pipes, then trains or applies a task-specific model and evaluates its results. The tree and README establish these product areas; sampled code confirms examples such as CRF decoding, classifier training with L-BFGS, topic inference, and embedding training. Several branches are represented at package level because their central implementations were not sampled.