354 Open source projects that are alternatives of or similar to TopicNet

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

Short Text Topic Modeling, JAVA

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

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

Code for unsupervised aspect extraction, using Keras and its Backends

A Shiny Application for Inspecting Structural Topic Models

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

Tutorials and my solutions to the Udacity NLP Nanodegree

A practical guide to topic mining and interactive visualizations

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

topics Models extension for Mallet & scikit-learn

fast sampling algorithm based on CGS

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

Top2Vec learns jointly embedded topic, document and word vectors.

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

A python library for Collective Matrix Factorization (CMF)

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

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

Fast topic modeling platform

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

R package for web-based interactive topic model visualization.

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

Various Algorithms for Short Text Mining

semi supervised guided topic model with custom guidedLDA

Resources for learning about Text Mining and Natural Language Processing

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.

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

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

LDA topic modeling for node.js

Pipeline for training LSA models using Scikit-Learn.

A simple Shiny App for Topic Modeling in R

Repo for my talk at the PyData Berlin 2017 conference

BERT, LDA, and TFIDF based keyword extraction in Python

implemented : lsa, plsa, lda

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

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

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

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 …

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

Learning structural topic modeling using the stm R package.

📝 Topic Modeling for Humans

Knowledge Graph Embedding LDA. AAAI 2017

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

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

Conversational text Analysis using various NLP techniques

Utils and modules for Speech Language and Multimodal processing using pytorch and pytorch lightning

Code for the paper "VistaNet: Visual Aspect Attention Network for Multimodal Sentiment Analysis", AAAI'19

[ICLR 2019] Learning Factorized Multimodal Representations

Reading list for research topics in multimodal machine learning

A Context-aware Visual Attention-based training pipeline for Object Detection from a Webpage screenshot!

[TPAMI Special Issue on ICCV 2021 Best Papers, Oral] Just Ask: Learning to Answer Questions from Millions of Narrated Videos

A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)

Multi-modal Transformers Excel at Class-agnostic Object Detection