ctpfrecPython implementation of "Content-based recommendations with poisson factorization", with some extensions
JoSH[KDD 2020] Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding
BTMBiterm Topic Modelling for Short Text with R
PyLDAA Latent Dirichlet Allocation implementation in Python.
enstopEnsemble topic modelling with pLSA
hldaGibbs sampler for the Hierarchical Latent Dirichlet Allocation topic model
stmprinterPrint multiple stm model dashboards to a pdf file for inspection
contextualLSTMContextual LSTM for NLP tasks like word prediction and word embedding creation for Deep Learning
TopicsExplorerExplore your own text collection with a topic model – without prior knowledge.
Ask2TransformersA Framework for Textual Entailment based Zero Shot text classification
LinkedIn Scraper🙋 A Selenium based automated program that scrapes profiles data,stores in CSV,follows them and saves their profile in PDF.
bnpBayesian nonparametric models for python
teanaps자연어 처리와 텍스트 분석을 위한 오픈소스 파이썬 라이브러리 입니다.
ConceptConcept Modeling: Topic Modeling on Images and Text
keras-aquariuma small collection of models implemented in keras, including matrix factorization(recommendation system), topic modeling, text classification, etc. Runs on tensorflow.
stripnetSTriP Net: Semantic Similarity of Scientific Papers (S3P) Network
TOMA library for topic modeling and browsing
auto-gfqgAutomatic Gap-Fill Question Generation