Alternatives and similar repositories for nmf_nyt

Users that are interested in nmf_nyt are comparing it to the libraries listed below

• andrei-rizoiu / hip-popularity
  This repo contains data, source code and other ressources related to the HIP model for online popularity of YouTube videos.
  ☆43Updated 7 years ago
• mariru / structured_embeddings
  ☆53Updated 7 years ago
• blei-lab / causal-text-embeddings
  Software and data for "Using Text Embeddings for Causal Inference"
  ☆126Updated 5 years ago
• dlatk / happierfuntokenizing
  This code implements a basic, Twitter-aware tokenizer.
  ☆12Updated last year
• ogencoglu / causal_twitter_modeling_covid19
  Source code for the paper "Causal Modeling of Twitter Activity during COVID-19". Computation, 2020.
  ☆10Updated 2 years ago
• vveitch / causal-text-embeddings-tf2
  Tensorflow 2 implementation of Causal-BERT
  ☆74Updated 2 years ago
• mlukasik / seqhawkes
  Code to reproduce experiments from the ACL 2016 paper about Rumour Stance Classification with Hawkes Processes.
  ☆25Updated 8 years ago
• ddemszky / framing-twitter
  Code for the paper "Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings"
  ☆70Updated 3 years ago
• behavioral-ds / BirdSpotter
  BirdSpotter is a python package which provides an influence and bot detection toolkit for twitter.
  ☆19Updated 4 years ago
• gvrkiran / controversy-detection
  ☆55Updated 3 years ago
• blei-lab / tmv
  topic model visualization
  ☆21Updated 4 years ago
• behavioral-ds / evently
  evently: simulation, fitting of Hawkes processes
  ☆16Updated 2 years ago
• jmhessel / FightingWords
  Quick implementation of Monroe et al.'s algorithm for comparing languages
  ☆53Updated 5 years ago
• yifan0sun / DynamicWord2Vec
  Dynamic Word Embeddings for Evolving Semantic Discovery code.
  ☆74Updated 2 years ago
• vveitch / causal-network-embeddings
  Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"
  ☆57Updated 2 years ago
• chyikwei / bnp
  Bayesian nonparametric models for python
  ☆18Updated 7 years ago
• amit-sharma / splitdoor-causal-criterion
  A method for estimating causal effects in time-series data. Uses available data to automatically find natural experiments for identifying…
  ☆17Updated 5 years ago
• BoulderDS / human-centered-machine-learning
  ☆53Updated 5 years ago
• KenHBS / LDA_thesis
  Hierarchical, multi-label topic modelling with LDA
  ☆54Updated 3 years ago
• keyonvafa / tbip
  Text-Based Ideal Points
  ☆46Updated 2 years ago
• lucy3 / ingroup_lang
  Code for 2021 TACL paper on community-specific language
  ☆12Updated 3 years ago
• FlorianWilhelm / lda4rec
  🧮 Extended Latent Dirichlet Allocation for Collaborative Filtering in Recommender Systems.
  ☆42Updated 3 years ago
• franrruiz / p-emb
  Exponential family embeddings (Poisson or Bernoulli) for discrete data
  ☆32Updated 6 years ago
• m94h / dtm_gensim
  Dynamic Topic Modelling Tutorial Files
  ☆13Updated 10 years ago
• Networks-Learning / discussion-complexity
  Code for "On the Complexity of Opinions and Online Discussions", WSDM 2019
  ☆12Updated 6 years ago
• magsilva / dtm
  This implements topics that change over time (Dynamic Topic Models) and a model of how individual documents predict that change.
  ☆30Updated 4 years ago
• Noahs-ARK / idea_relations
  A framework to identify relations between ideas in temporal text corpora.
  ☆28Updated 7 years ago
• kzhai / PyCTM
  A Correlated Topic Model implementation in Python.
  ☆32Updated 5 years ago
• osome-iu / DrifterBot
  Source code and data for paper "Neutral Bots Probe Political Bias on Social Media" by Chen et al.
  ☆31Updated 3 years ago
• elucherini / t-recs
  A simulator for recommender systems
  ☆47Updated last year