Alternatives and similar repositories for deconfounded_lexicon_induction:

Users that are interested in deconfounded_lexicon_induction 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
• dirkhovy / MACE
  Multi-Annotator Competence Estimation tool
  ☆63Updated 5 years ago
• tdszyman / twapy
  Temporal Word Analogies in Python
  ☆18Updated 7 years ago
• abrazinskas / BSG
  Bayesian Skip-gram model
  ☆47Updated 4 years ago
• jacobeisenstein / language-change-tutorial
  Tutorial on computational models of language change
  ☆114Updated 5 years ago
• yifan0sun / DynamicWord2Vec
  Dynamic Word Embeddings for Evolving Semantic Discovery code.
  ☆73Updated 2 years ago
• NLPrinceton / ALaCarte
  ☆103Updated 6 years ago
• dallascard / scholar
  Neural models for documents with metadata
  ☆103Updated 4 years ago
• valedica / twec
  Training Temporal Word Embeddings with a Compass
  ☆64Updated 2 years ago
• jjessyli / speciteller
  Sentence specificity prediction
  ☆25Updated 6 years ago
• ghdi6758 / SemAxis
  SemAxis: A Lightweight Framework to Characterize Domain-Specific Word Semantics Beyond Sentiment
  ☆21Updated 2 years ago
• dice-group / palmetto-py
  Python interface for https://github.com/dice-group/Palmetto
  ☆40Updated 2 years ago
• nmrksic / attract-repel
  The Attract-Repel algorithm presented in (Mrkšić et al., TACL 2017), with accompanying resources.
  ☆63Updated 7 years ago
• jmhessel / FightingWords
  Quick implementation of Monroe et al.'s algorithm for comparing languages
  ☆53Updated 4 years ago
• kj2013 / claff-happydb
  Corpus and annotations for the CL-Aff Shared Task from the University of Pennsylvania
  ☆19Updated 3 years ago
• adjidieng / DETM
  ☆132Updated 3 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
• IBM / WordMoversEmbeddings
  WordMoversEmbeddings(WME) is a simple code for generating the vector representation of sentence/document for text classification and clus…
  ☆81Updated 6 years ago
• rpryzant / causal-text
  Package for computing causal effects of text (as treatment)
  ☆70Updated 2 years ago
• adalmia96 / Cluster-Analysis
  ☆54Updated 3 years ago
• blei-lab / causal-text-embeddings
  Software and data for "Using Text Embeddings for Causal Inference"
  ☆122Updated 4 years ago
• gonenhila / gender_bias_lipstick
  ☆37Updated 5 years ago
• UKPLab / acl2016-convincing-arguments
  Code and data for ACL2016 article "Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidi…
  ☆28Updated 8 years ago
• ahoho / topics
  ☆52Updated 10 months ago
• BoulderDS / feature-importance
  ☆15Updated last year
• estebandito22 / PyTorchAVITM
  PyTorch Implementation of Autoencoding Variational Inference for Topic Models (Srivastava and Sutton 2017)
  ☆38Updated 5 years ago
• jhlau / topic_interpretability
  Computation of the semantic interpretability of topics produced by topic models.
  ☆180Updated 7 years ago
• Savvysherpa / slda
  Cython implementations of Gibbs sampling for supervised LDA
  ☆61Updated 7 years ago
• epfl-dlab / Cr5
  Code and data for the WSDM '19 paper "Crosslingual Document Embedding as Reduced-Rank Ridge Regression (Cr5)"
  ☆30Updated 5 years ago
• uclanlp / gn_glove
  Learning Gender-Neutral Word Embeddings
  ☆46Updated 5 years ago