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

LDA topic modeling for node.js

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

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

Knowledge Graph Embedding LDA. AAAI 2017

BERT, LDA, and TFIDF based keyword extraction in Python

Sentiment Analysis & Topic Modeling with Amazon Reviews

A Toolkit for Industrial Topic Modeling

A Latent Dirichlet Allocation implementation in Python.

Gibbs sampler for the Hierarchical Latent Dirichlet Allocation topic model

Short Text Topic Modeling, JAVA

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

High performance topic modeling for Ruby

Repo for my talk at the PyData Berlin 2017 conference

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

Open Source Package for Gibbs Sampling of LDA

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

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

Resources for learning about Text Mining and Natural Language Processing

经典机器学习算法的极简实现

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 …

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

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

Tree-based Autofolding Software Summarization Algorithm

📝 Topic Modeling for Humans

Fast topic modeling platform

Python code for common Machine Learning Algorithms

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

semi supervised guided topic model with custom guidedLDA

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

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

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.

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

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).

Learning structural topic modeling using the stm R package.

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

Various examples of topic modeling and other text analysis

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

Conversational text Analysis using various NLP techniques

Interface for easier topic modelling.

Natural Language Processing for Lithuanian language

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

😔 😞 😣 😖 😩 Detect depression on social media using the ssToT method introduced in our ASONAM 2017 paper titled "Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media"

zAnalysis是基于Pascal语言编写的大型统计学开源库

Pipeline for training LSA models using Scikit-Learn.

Python implementation of "Content-based recommendations with poisson factorization", with some extensions

R package for web-based interactive topic model visualization.

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

[KDD 2020] Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding

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

Biterm Topic Modelling for Short Text with R

Ensemble topic modelling with pLSA

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

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

A simple Shiny App for Topic Modeling in R

🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/

Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.

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

Print multiple stm model dashboards to a pdf file for inspection

Contextual LSTM for NLP tasks like word prediction and word embedding creation for Deep Learning