GSDMM: Short text clustering

Improving topic models LDA and DMM (one-topic-per-document model for short texts) with word embeddings (TACL 2015)

Short Text Topic Modeling, JAVA

Convolutional Neural Network based on Hierarchical Category Structure for Multi-label Short Text Categorization

A Java package for the LDA and DMM topic models

Code for Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder (EMNLP2020).

This repository contains code to reproduce the results in our paper "Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets".

Code for Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning (EMNLP2022)

GSDMM: Short text clustering (Rust implementation)

Code for Short Text Topic Modeling with Flexible Word Patterns (IJCNN2019)

Our Java implementation of Self-Aggregation-Based Topic Model (SATM)

The implementation of GPU-based Dirichlet Multinomial Mixture model (GPU-DMM) (published in SIGIR 2016)

[ICDM2017] Aspect Sentiment Model for Micro Reviews

Our implementation of Biterm Topic Model (BTM) (published in WWW 2013)

An open-source, top-ranked sentiment analysis system of Spanish tweets.

Our implementation of collapsed Gibbs Sampling algorithm for Dirichlet Multinomial Mixture model(GSDMM) (published in KDD 2014)

PyTorch implementation of Self-training approch for short text clustering

Sylang - minimal notes

The java implementation of "Enhancing Topic Modeling for Short Texts with Auxiliary Word Embeddings" TOIS 2017, Chenliang Li, Yu Duan, Haoran Wang, Zhiqian Zhang, Aixin Sun, Zongyang Ma, https://dl.acm.org/citation.cfm?doid=3133943.3091108

A classification for text and short text.