GSDMM: Short text clustering
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Updated
Dec 28, 2022 - Python
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
GSDMM: Short text clustering (Rust implementation)
The implementation of GPU-based Dirichlet Multinomial Mixture model (GPU-DMM) (published in SIGIR 2016)
Our Java implementation of Self-Aggregation-Based Topic Model (SATM)
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 Short Text Topic Modeling with Flexible Word Patterns (IJCNN2019)
[ICDM2017] Aspect Sentiment Model for Micro Reviews
Code for Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder (EMNLP2020).
An open-source, top-ranked sentiment analysis system of Spanish tweets.
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
Code for Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning (EMNLP2022)
Our implementation of collapsed Gibbs Sampling algorithm for Dirichlet Multinomial Mixture model(GSDMM) (published in KDD 2014)
An open-source spell checker for texts written in Spanish, with a focus on tweets.
Our implementation of Biterm Topic Model (BTM) (published in WWW 2013)
Sylang - minimal notes
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