yya518 / sDTMLinks
Open source implementation of sDTM - supervised Deep Topic Model
☆16Updated 3 years ago
Alternatives and similar repositories for sDTM
Users that are interested in sDTM are comparing it to the libraries listed below
Sorting:
- Code and data for "Heterogeneous Supervised Topic Models"☆11Updated 3 years ago
- Tensorflow 2 implementation of Causal-BERT☆74Updated 2 years ago
- ☆11Updated 3 years ago
- Replication code for "The Structure of Toxic Conversations on Twitter" (WWW'21)☆10Updated 4 years ago
- This package consists of functionalities for dynamic topic modelling and its visualization☆26Updated 5 years ago
- This package supports implementation of anchor-based topic modeling and variants of the anchoring algorithm in Python 3.☆16Updated 7 years ago
- This implements topics that change over time (Dynamic Topic Models) and a model of how individual documents predict that change.☆29Updated 5 years ago
- evently: simulation, fitting of Hawkes processes☆16Updated 3 years ago
- Pytorch implementation of "Adapting Text Embeddings for Causal Inference"☆93Updated 4 years ago
- Code accompanying our ICML 2020 paper on choice set optimization in group decision-making.☆11Updated 5 years ago
- Literature Review/ Summary of methods for extraction of causal relations from text☆10Updated 4 years ago
- Unified benchmark and model for causal text mining☆28Updated 2 years ago
- dynamic topic modeling☆42Updated 3 years ago
- BirdSpotter is a python package which provides an influence and bot detection toolkit for twitter.☆19Updated 4 years ago
- Implementation of "Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework" (JASA 2023)☆32Updated 2 years ago
- Code associated with paper: Plug-in Regularized Estimation of High-Dimensional Parameters in Nonlinear Semiparametric Models, Chernozhuk…☆16Updated 5 years ago
- Package for computing causal effects of text (as treatment)☆75Updated 3 years ago
- A code for "Tree-Structured Neural Topic Model" in ACL2020☆19Updated 3 years ago
- Dynamic Word Embeddings for Evolving Semantic Discovery code.☆75Updated 3 years ago
- Code for "Challenges of Using Text Classifiers for Causal Inference," at EMNLP '18☆24Updated 5 years ago
- Study of semantic evolution of words over time☆22Updated 2 years ago
- Software package for intertemporal pricing optimization under reference effects and consumer heterogeneity estimation. Please see REAMDE.…☆10Updated last year
- CausalNLP is a practical toolkit for causal inference with text as treatment, outcome, or "controlled-for" variable.☆156Updated last year
- An optimization-based algorithm to accurately estimate the causal effects and robustly predict under distribution shifts. It leverages th…☆14Updated last year
- Repository for the Tweet2Story framework for the extraction of narratives from tweets.☆14Updated 3 years ago
- Offline Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits☆10Updated last year
- Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"☆57Updated 2 years ago
- ☆22Updated last year
- data and source code for "Addressing Marketing Bias in Product Recommendations" WSDM'20☆43Updated 5 years ago
- ☆11Updated 4 years ago