Alternatives and similar repositories for causal-text:

Users that are interested in causal-text are comparing it to the libraries listed below

• rpryzant / deconfounded-lexicon-induction
  Find text features that are most related to an outcome, controlling for confounds.
  ☆60Updated 6 months ago
• vveitch / causal-text-embeddings-tf2
  Tensorflow 2 implementation of Causal-BERT
  ☆70Updated last year
• rpryzant / causal-bert-pytorch
  Pytorch implementation of "Adapting Text Embeddings for Causal Inference"
  ☆84Updated 3 years ago
• blei-lab / causal-text-embeddings
  Software and data for "Using Text Embeddings for Causal Inference"
  ☆124Updated 4 years ago
• ddemszky / framing-twitter
  Code for the paper "Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings"
  ☆68Updated 2 years ago
• mariru / dynamic_bernoulli_embeddings
  ☆15Updated 7 years ago
• adjidieng / DETM
  ☆133Updated 4 years ago
• oaraque / moral-foundations
  Additional material for the paper "MoralStrength: Exploiting a Moral Lexicon and Embedding Similarity for Moral Foundations Prediction"
  ☆54Updated 2 years ago
• gonenhila / usage_change
  Code for the paper "Simple, Interpretable and Stable Method for Detecting Words with Usage Change across Corpora", ACL 2020.
  ☆18Updated 4 years ago
• valentinhofmann / dcwe
  Code for "Dynamic Contextualized Word Embeddings"
  ☆31Updated 3 years ago
• wwbp / empathic_reactions
  ☆41Updated 4 years ago
• amaiya / causalnlp
  CausalNLP is a practical toolkit for causal inference with text as treatment, outcome, or "controlled-for" variable.
  ☆146Updated last week
• dallascard / media_frames_corpus
  A set of media framing annotations, along with scripts for obtaining the corresponding news articles
  ☆50Updated 5 years ago
• lrheault / partyembed
  Scripts to fit and explore word embedding models augmented with political metadata.
  ☆23Updated 7 months ago
• ben-aaron188 / covid19worry
  The COVID-19 Real World Worry Datasets
  ☆27Updated 3 years ago
• dsridhar91 / hstm
  Code and data for "Heterogeneous Supervised Topic Models"
  ☆11Updated 2 years ago
• BoulderDS / human-centered-machine-learning
  ☆53Updated 4 years ago
• amirfeder / CausaLM
  CausaLM: Causal Model Explanation Through Counterfactual Language Models
  ☆55Updated 4 years ago
• ahoho / topics
  ☆52Updated 11 months ago
• valedica / twec
  Training Temporal Word Embeddings with a Compass
  ☆64Updated 2 years ago
• yifan0sun / DynamicWord2Vec
  Dynamic Word Embeddings for Evolving Semantic Discovery code.
  ☆73Updated 2 years ago
• maartensap / riveter-nlp
  Package to extract connotation frames
  ☆83Updated last year
• keyonvafa / tbip
  Text-Based Ideal Points
  ☆43Updated last year
• adalmia96 / Cluster-Analysis
  ☆54Updated 3 years ago
• jacobeisenstein / language-change-tutorial
  Tutorial on computational models of language change
  ☆114Updated 5 years ago
• lfmatosm / embedded-topic-model
  A package to run embedded topic modelling with ETM. Adapted from the original at: https://github.com/adjidieng/ETM
  ☆95Updated last year
• vinid / cade
  Compass-aligned Distributional Embeddings. Align embeddings from different corpora
  ☆39Updated 2 years ago
• dirkhovy / NLPclass
  ☆39Updated 3 years ago
• sakibsh / ANTiVax
  A novel dataset containing over 15 Million COVID-19 vaccine-related tweets and 15 Thousand labeled tweet for vaccine misinformation detec…
  ☆28Updated 5 months ago
• ghdi6758 / SemAxis
  SemAxis: A Lightweight Framework to Characterize Domain-Specific Word Semantics Beyond Sentiment
  ☆21Updated 2 years ago