Improving topic models LDA and DMM (one-topic-per-document model for short texts) with word embeddings (TACL 2015)
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Updated
May 8, 2017 - Java
Improving topic models LDA and DMM (one-topic-per-document model for short texts) with word embeddings (TACL 2015)
An open-source, top-ranked sentiment analysis system of Spanish tweets.
[ICDM2017] Aspect Sentiment Model for Micro Reviews
An open-source spell checker for texts written in Spanish, with a focus on tweets.
Final graduation project.
Final graduation project. Working on short text topic identification.
A Java package for the LDA and DMM topic models
Code for Short Text Topic Modeling with Flexible Word Patterns (IJCNN2019)
Short Text Topic Modeling, JAVA
The code of the project that extends the paper "A Word Embeddings Informed Focused Topic Model"
MIGA is a short text clustering/aggregation topic model that leverages document metadata
EWNStream+: Effective and Real-time Clustering of Short Text Streams Using Evolutionary Word Relation Network
Discovering Topic Representative Terms for Short Text Clustering
Electronic Invoices classification
Fork of original code for Biterm Topic Model to provide closer to real-world use interfaces
Autoencoder Approach for Electronic Invoices Data Clustering
Our implementation of Biterm Topic Model (BTM) (published in WWW 2013)
Our implementation of collapsed Gibbs Sampling algorithm for Dirichlet Multinomial Mixture model(GSDMM) (published in KDD 2014)
Our Java implementation of Self-Aggregation-Based Topic Model (SATM)
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