85 Open source projects that are alternatives of or similar to Chinese_keyphrase_extractor

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

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

topics Models extension for Mallet & scikit-learn

Various Algorithms for Short Text Mining

Knowledge Graph Embedding LDA. AAAI 2017

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

A simple Shiny App for Topic Modeling in R

Topic modeling with word vectors

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

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

R package for web-based interactive topic model visualization.

Interface for easier topic modelling.

Code for unsupervised aspect extraction, using Keras and its Backends

Resources for learning about Text Mining and Natural Language Processing

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

LDA topic modeling for node.js

A practical guide to topic mining and interactive visualizations

BERT, LDA, and TFIDF based keyword extraction in Python

Topic Modelling for Humans

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

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

Learning structural topic modeling using the stm R package.

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 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.

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

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

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

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

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

semi supervised guided topic model with custom guidedLDA

A Shiny Application for Inspecting Structural Topic Models

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.

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

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

Tutorials and my solutions to the Udacity NLP Nanodegree

Pipeline for training LSA models using Scikit-Learn.

Beautiful visualizations of how language differs among document types.

Repo for my talk at the PyData Berlin 2017 conference

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

implemented : lsa, plsa, lda

Python package of Tomoto, the Topic Modeling Tool

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

fast sampling algorithm based on CGS

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 …

Machine learning, in numpy

Tree-based Autofolding Software Summarization Algorithm

Top2Vec learns jointly embedded topic, document and word vectors.

📝 Topic Modeling for Humans

Palmetto is a quality measuring tool for topics

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

A python library for Collective Matrix Factorization (CMF)

Conversational text Analysis using various NLP techniques

Short Text Topic Modeling, JAVA

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

Open Source Package for Gibbs Sampling of LDA

A Toolkit for Industrial Topic Modeling

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

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

Fast topic modeling platform