113 Open source projects that are alternatives of or similar to Sttm

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

LDA topic modeling for node.js

Sentiment Analysis & Topic Modeling with Amazon Reviews

Repo for my talk at the PyData Berlin 2017 conference

Knowledge Graph Embedding LDA. AAAI 2017

High performance topic modeling for Ruby

Explore your own text collection with a topic model – without prior knowledge.

Open Source Package for Gibbs Sampling of LDA

Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec from this paper https://arxiv.org/abs/1605.02019

fast sampling algorithm based on CGS

BERT, LDA, and TFIDF based keyword extraction in Python

Gibbs sampler for the Hierarchical Latent Dirichlet Allocation topic model

A workshop on analyzing topic modeling (LDA, CTM, STM) using R

A Toolkit for Industrial Topic Modeling

A Latent Dirichlet Allocation implementation in Python.

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

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

Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approaches of feature reduction have been compared in this paper: principle component analysis (PCA), linear discriminant analysis (LDA) and their kernel methods (KPCA,KLDA). Correspondingly, a few approaches of classification algorithm are implemented: Support Vector Machine (SVM), Gaussian Quadratic Maximum Likelihood and K-nearest neighbors (KNN) and Gaussian Mixture Model(GMM).

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

Pipeline for training LSA models using Scikit-Learn.

A Multilingual Latent Dirichlet Allocation (LDA) Pipeline with Stop Words Removal, n-gram features, and Inverse Stemming, in Python.

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

Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.

A simple Shiny App for Topic Modeling in R

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

Building a model to recognize incentives for landscape restoration in environmental policies from Latin America, the US and India. Bringing NLP to the world of policy analysis through an extensible framework that includes scraping, preprocessing, active learning and text analysis pipelines.

Selected Machine Learning algorithms for natural language processing and semantic analysis in Golang

Top2Vec learns jointly embedded topic, document and word vectors.

Python code for common Machine Learning Algorithms

Displays all the 2019 CVPR Accepted Papers in a way that they are easy to parse.

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

Various examples of topic modeling and other text analysis

extract relationships from standardized terms from corpus of interest with deep learning 🐟

Code for unsupervised aspect extraction, using Keras and its Backends

A python library for Collective Matrix Factorization (CMF)

A Shiny Application for Inspecting Structural Topic Models

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

Fast topic modeling platform

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

A practical guide to topic mining and interactive visualizations

implemented : lsa, plsa, lda

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

Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.

经典机器学习算法的极简实现

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

使用Python进行自然语言处理相关实践，如新词发现，主题模型，隐马尔模型词性标注，Word2Vec，情感分析

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 …

topics Models extension for Mallet & scikit-learn

R package for web-based interactive topic model visualization.

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

Tree-based Autofolding Software Summarization Algorithm

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

Learning structural topic modeling using the stm R package.

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

Social media (Weibo) comments analyzing toolbox in Chinese 微博评论分析工具, 实现功能: 1.微博评论数据爬取; 2.分词与关键词提取; 3.词云与词频统计; 4.情感分析; 5.主题聚类

📝 Topic Modeling for Humans

Various Algorithms for Short Text Mining

Natural Language Processing for Lithuanian language

Topic Words in Context (TWiC) is a highly-interactive, browser-based visualization for MALLET topic models

Uses topic modeling to identify context between follower relationships of Twitter users