Alternatives and similar repositories for Tweet2Vec:

Users that are interested in Tweet2Vec are comparing it to the libraries listed below

• dallascard / neural_topic_models
  Code to accompany "A Neural Framework for Generalized Topic Models"
  ☆67Updated 6 years ago
• ParallelDots / WordEmbeddingAutoencoder
  An autoencoder to calculate word embeddings as mentioned in Lebret/Collobert paper 2015
  ☆74Updated 8 years ago
• pdasigi / neural-semantic-encoders
  Reimplementation of Munkhdalai et al's Neural Semantic Encoders (https://arxiv.org/pdf/1607.04315v2.pdf)
  ☆59Updated 8 years ago
• jiweil / mutli-sense-embedding
  ☆46Updated 7 years ago
• enewe101 / word2vec
  An implementation of Mikolov's word2vec in Python using Theano and Lasagne.
  ☆37Updated 7 years ago
• fh295 / SentenceRepresentation
  ☆125Updated 8 years ago
• taolei87 / text_convnet
  Molding CNNs for text (http://arxiv.org/abs/1508.04112)
  ☆85Updated 8 years ago
• alvations / stasis
  Semantic Textual Similarity in Python
  ☆79Updated 8 years ago
• ai-ku / wvec
  Word vectors
  ☆64Updated 6 years ago
• rajarshd / Gaussian_LDA
  ☆141Updated 5 years ago
• yiyang-gt / social-attention
  Code for the TACL paper "Overcoming Language Variation in Sentiment Analysis with Social Attention"
  ☆45Updated 7 years ago
• miyyer / rmn
  relationship modeling networks (NAACL 2016)
  ☆87Updated 4 years ago
• gouwsmeister / bilbowa
  Open-source implementation of the BilBOWA (Bilingual Bag-of-Words without Alignments) word embedding model.
  ☆69Updated 3 years ago
• rguthrie3 / MorphologicalPriorsForWordEmbeddings
  Code for EMNLP 2016 paper: Morphological Priors for Probabilistic Word Embeddings
  ☆52Updated 8 years ago
• kedz / sumpy
  SUMPY: a python automatic text summarization library
  ☆55Updated 8 years ago
• jacobeisenstein / probabilistic-lexicon-classification
  ☆41Updated 8 years ago
• jwieting / charagram
  Code to train and use models from "Charagram: Embedding Words and Sentences via Character n-grams".
  ☆124Updated 8 years ago
• synthesio / hierarchical-attention-networks
  Implementation of Hierarchical Attention Networks as presented in https://www.cs.cmu.edu/~diyiy/docs/naacl16.pdf
  ☆57Updated 6 years ago
• piskvorky / word_embeddings
  Code for the blog post "Making Sense of Word2vec"
  ☆113Updated 10 years ago
• zseymour / phrase2vec
  Implementation of phrase2vec from modified word2vec code.
  ☆94Updated 8 years ago
• raviqqe / tensorflow-font2char2word2sent2doc
  TensorFlow implementation of Hierarchical Attention Networks for Document Classification and some extension
  ☆94Updated 7 years ago
• karlstratos / singular
  ☆18Updated 9 years ago
• elbamos / NeuralTopicModels
  Neural Topic Models
  ☆69Updated 8 years ago
• seomoz / word2gauss
  Gaussian word embeddings
  ☆190Updated 6 years ago
• mariru / exponential_family_embeddings
  Bernoulli Embeddings for Text
  ☆83Updated 7 years ago
• XuezheMax / LasagneNLP
  NLP tools on Lasagne
  ☆61Updated 7 years ago
• bmitra-msft / NDRM
  A repository for Neural Document Ranking Models.
  ☆84Updated 6 years ago
• yiyang-gt / feat2vec
  Code of NAACL paper "Unsupervised Multi-Domain Adaptation with Feature Embeddings"
  ☆33Updated 9 years ago
• dongwookim-ml / topic-model-lecture-note
  lecture notes for probabilistic topic models using ipython notebook
  ☆22Updated 10 years ago
• Bollegala / svdmi
  Common pre-processing in NLP such as PPMI computation, SVD-based dimensionality reduction, and PLSR-based distribution prediction.
  ☆24Updated 6 years ago