219 Open source projects that are alternatives of or similar to auto-gfqg

PyTorch implementation of 'An Unsupervised Neural Attention Model for Aspect Extraction' by He et al. ACL2017'

A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).

A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)

R package for web-based interactive topic model visualization.

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

This repository contains code and bonus content which will be added from time to time for the book "Learning Social Media Analytics with R" by Packt

Topic Modelling for Humans

Resources for learning about Text Mining and Natural Language Processing

Code for unsupervised aspect extraction, using Keras and its Backends

LDA topic modeling for node.js

BERT, LDA, and TFIDF based keyword extraction in Python

Owl - OCaml Scientific and Engineering Computing @ http://ocaml.xyz

Topic modeling with word vectors

Fast topic modeling platform

A Toolkit for Industrial Topic Modeling

Various Algorithms for Short Text Mining

A PureScript, browser-based implementation of LDA topic modeling.

Machine Learning Lectures at the European Space Agency (ESA) in 2018

基于bert4keras的GLUE基准代码

A simple Shiny App for Topic Modeling in R

Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.

Code & data accompanying the KDD 2017 paper "KATE: K-Competitive Autoencoder for Text"

implemented : lsa, plsa, lda

A practical guide to topic mining and interactive visualizations

The official implementation of ACL 2019 paper "Topic-Aware Neural Keyphrase Generation for Social Media Language"

Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).

Top2Vec learns jointly embedded topic, document and word vectors.

Beautiful visualizations of how language differs among document types.

A python library for Collective Matrix Factorization (CMF)

Python package of Tomoto, the Topic Modeling Tool

Fast vectorization, topic modeling, distances and GloVe word embeddings in R.

Machine learning, in numpy

Paper reading list in natural language processing, including dialogue systems and text generation related topics.

[NeurIPS 2021] COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining

Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx

Short Text Topic Modeling, JAVA

semi supervised guided topic model with custom guidedLDA

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

A python package to run contextualized topic modeling. CTMs combine BERT with topic models to get coherent topics. Also supports multilingual tasks. Cross-lingual Zero-shot model published at EACL 2021.

A point-and-click tool for creating and analyzing topic models produced by MALLET.

Code for acl2017 paper "An unsupervised neural attention model for aspect extraction"

A private, free, open-source search engine built on a P2P network

Pipeline for training LSA models using Scikit-Learn.

A Shiny Application for Inspecting Structural Topic Models

Repo for my talk at the PyData Berlin 2017 conference

Palmetto is a quality measuring tool for topics

Tutorials and my solutions to the Udacity NLP Nanodegree

topics Models extension for Mallet & scikit-learn

Learning structural topic modeling using the stm R package.

An off-the-shelf tool for Chinese Keyphrase Extraction 一个快速从中文里抽取关键短语的工具，仅占35M内存

Twitter Trends is a web-based application that automatically detects and analyzes emerging topics in real time through hashtags and user mentions in tweets. Twitter being the major microblogging service is a reliable source for trends detection. The project involved extracting live streaming tweets, processing them to find top hashtags and user …

Implement of L-LDA Model(Labeled Latent Dirichlet Allocation Model) with python

Tree-based Autofolding Software Summarization Algorithm

Text Mining and Topic Modeling Toolkit for Python with parallel processing power

📝 Topic Modeling for Humans

fast sampling algorithm based on CGS

Weaving analytical stories from text data

Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

Open Source Package for Gibbs Sampling of LDA

A Python toolbox for gaining geometric insights into high-dimensional data