Alternatives and similar repositories for discussion-complexity

Users that are interested in discussion-complexity are comparing it to the libraries listed below

• GateNLP / semeval2019-hyperpartisan-bertha-von-suttner
  SemEval 2019 Hyperpartisan News Detection - team Bertha von Suttner contribution
  ☆23Updated 6 years ago
• adalmia96 / Cluster-Analysis
  ☆54Updated 4 years ago
• BoulderDS / human-centered-machine-learning
  ☆53Updated 5 years ago
• rpryzant / deconfounded-lexicon-induction
  Find text features that are most related to an outcome, controlling for confounds.
  ☆60Updated last year
• valedica / twec
  Training Temporal Word Embeddings with a Compass
  ☆65Updated 5 months ago
• lateral / minkowski
  Skip-gram word embeddings in hyperbolic space
  ☆34Updated 7 years ago
• sjtuprog / fox-news-comments
  annotated hateful speech
  ☆24Updated 6 years ago
• uclanlp / gn_glove
  Learning Gender-Neutral Word Embeddings
  ☆47Updated 6 years ago
• gvrkiran / controversy-detection
  ☆55Updated 3 years ago
• mebrunet / understanding-bias
  Code accompanying the paper "Understanding Bias in Word Embeddings"
  ☆22Updated 3 years ago
• copenlu / awesome-text-interpretability
  A repo to keep all resources about interpretability in NLP organised and up to date
  ☆12Updated 5 years ago
• blei-lab / causal-text-embeddings
  Software and data for "Using Text Embeddings for Causal Inference"
  ☆126Updated 5 years ago
• sophialatessa / FakeNewsDeepLearning
  ☆23Updated 7 years ago
• behavioral-ds / evently
  evently: simulation, fitting of Hawkes processes
  ☆16Updated 3 years ago
• gsantia / BuzzFace
  A data set regarding news veracity on social media. Published at ICWSM-18.
  ☆36Updated 4 years ago
• vveitch / causal-text-embeddings-tf2
  Tensorflow 2 implementation of Causal-BERT
  ☆74Updated 2 years ago
• williamleif / redditnetwork
  Tools for accessing/processing Reddit data and constructing networks based on this data. (Not an API crawler.)
  ☆16Updated 8 years ago
• ceshwar / reddit-norm-violations
  Hybrid Approaches to Detect Comments Violating Macro Norms on Reddit
  ☆28Updated 6 years ago
• david-yoon / detecting-incongruity
  TensorFlow implementation of "Detecting Incongruity Between News Headline and Body Text via a Deep Hierarchical Encoder," AAAI-19
  ☆38Updated last year
• willferreira / mscproject
  ☆28Updated 9 years ago
• melsherief / hate_speech_icwsm18
  ☆15Updated 7 years ago
• Noahs-ARK / idea_relations
  A framework to identify relations between ideas in temporal text corpora.
  ☆28Updated 7 years ago
• vlukiyanov / pt-avitm
  PyTorch implementation of AVITM (Autoencoding Variational Inference For Topic Models)
  ☆35Updated 3 years ago
• allenai / show-your-work
  Relevant code for the "Show Your Work" paper, EMNLP 2019.
  ☆18Updated 6 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
• IBM / HOTT
  Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"
  ☆54Updated 6 years ago
• skesiraju / BaySMM
  Model for learning document embeddings along with their uncertainties
  ☆36Updated 2 years ago
• PrincetonML / SemanticVector
  Word embedding approach based on a dynamic log-linear model
  ☆55Updated 8 years ago
• jacobeisenstein / language-change-tutorial
  Tutorial on computational models of language change
  ☆116Updated 6 years ago
• IBM / WordMoversEmbeddings
  WordMoversEmbeddings(WME) is a simple code for generating the vector representation of sentence/document for text classification and clus…
  ☆83Updated 7 years ago