Improving Topic Models with Word Embeddings
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Updated
Aug 23, 2018 - Java
Improving Topic Models with Word Embeddings
The tool implementation of the thesis work of Masud Rahman
Repository for the paper "RDFsim: Similarity-Based Browsing over DBpedia using Embeddings", Manos Chatzakis, Michalis Mountantonakis and Yannis Tzitzikas. 2021, Information MDPI Switzerland.
Word embedding in Java
Code for paper: Software clusterings with vector semantics and the call graph
Generalized Translation Models in the Probabilistic Relevance Framework implemented in Lucene & Solr
NLP2API: Query Reformulation for Code Search using Crowdsourced Knowledge and Extra-Large Data Analytics.
Word2VecfJava: Java implementation of Dependency-Based Word Embeddings and extensions
Indra is a Web Service which allows easy access to different distributional semantics models in several languages.
A Dead Simple BERT API for Python and Java (https://github.com/google-research/bert)
Improving topic models LDA and DMM (one-topic-per-document model for short texts) with word embeddings (TACL 2015)
Java interface for fastText
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