Data repository for pretrained NLP models and NLP corpora.

Using latent Dirichlet allocation (LDA) in Apache Lucene

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

On-Line LDA: Adaptive Topic Models for Mining Text Streams with Applications to Topic Detection and Tracking.

Spectral LDA

Code to run LDA algorithm on Twitter/Foursquare scraped data.

REST web service to compute and query Latent Dirichlet Allocation models

Crowdsourced Time-sync Video Tagging using Temporal and Personalized Topic Modeling

This Python project develops a LDA model which trains on various Wikipedia articles based on a keyword and then suggests Wikipedia articles based on a search query.

对汽车之家论坛里的评论数据处理和分析，利用用户潜在行为数据得出用户行为特征，采用LDA主题模型得出用户评论的主题特征，采用Word2Vec词向量模型得出用户评论的文本内容特征，采用K-Means聚类得出水军文本类别，结合用户行为特征，最终实现了对网络水军的识别。

A consolidated collection of topic model implementations

NLP of Ted Talk transcripts and a recommender.

Drake Analysis: a deeper look into the discography of Canada's Rap King using various NLP techniques.

Use Word2vec model and LDA model for drug recommendation

Extracting Hidden Topics from Texts using LDA Model

😅 A topic model of reddit.com/r/EmojiPasta trained with Spark and an LDA model (NSFW) - Trigger Warning: The r/emojipasta subreddit posts controversial content and anything I have crawled is to provide visibility of a topic modeling some of this controversial content. Unfortunately there is also discriminatory speech which must be called out!

A program that using a self-designed LDA model as well as the normal LDA model to do the prediction

Project for Topic Modeling using gensim Library

Predict shop categories by Topic modeling with latent Dirichlet allocation and gensim

Repository for the development of a library with features of: Geoparsing and Topic Modeling

Keyword Extraction for PDFs

A Java Implementation of Latent Dirichlet Allocation (LDA) using Gibbs Sampling for Parameter Estimation and Inference

Collection of NLP utility code

An implementation of statistical topic model. It can be used to automatically tag Web pages with concepts from a known set of concepts without any need for labeled documents

This repo contains the coding necessary for for performing topic modeling using the model Latent Dirichlet Allocation.