Alternatives and similar repositories for chowmein:

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

• ikekonglp / TweeboParser
  A Dependency Parser for Tweets
  ☆79Updated 5 years ago
• mansweet / Gaussian-LDA-word2vec
  LDA topic modeling with word2vec using gaussian topic distributions for infinite vocabulary
  ☆51Updated 8 years ago
• rajarshd / Gaussian_LDA
  ☆141Updated 5 years ago
• sb1992 / NETL-Automatic-Topic-Labelling-
  Generating labels for topics automatically using neural embeddings
  ☆183Updated last year
• napsternxg / TwitterNER
  Twitter named entity extraction for WNUT 2016 http://noisy-text.github.io/2016/ner-shared-task.html
  ☆138Updated 2 years ago
• scavallari / Topic2Vec
  ☆21Updated 8 years ago
• vered1986 / LexNET
  LexNET: Integrated Path-based and Distributional Method for Lexical Semantic Relation Classification
  ☆62Updated 6 years ago
• yotam-happy / NEDforNoisyText
  Named Entity Disambiguation for Noisy Text
  ☆66Updated 7 years ago
• JonathanRaiman / wikipedia_ner
  Labeled examples from wiki dumps in Python
  ☆67Updated 8 years ago
• alvations / stasis
  Semantic Textual Similarity in Python
  ☆80Updated 8 years ago
• spinningbytes / deep-mlsa
  Code for WWW 2017 conference paper "Leveraging large amounts of weakly supervised data for multi-language sentiment classification"
  ☆36Updated 6 years ago
• ParallelDots / WordEmbeddingAutoencoder
  An autoencoder to calculate word embeddings as mentioned in Lebret/Collobert paper 2015
  ☆74Updated 8 years ago
• krzysiekfonal / grammaregex
  Regex like pattern tree matching but on sentence's tree instead of Strings
  ☆42Updated 6 years ago
• ma-sultan / monolingual-word-aligner
  ☆81Updated 10 years ago
• PrincetonML / SemanticVector
  Word embedding approach based on a dynamic log-linear model
  ☆55Updated 7 years ago
• rguthrie3 / MorphologicalPriorsForWordEmbeddings
  Code for EMNLP 2016 paper: Morphological Priors for Probabilistic Word Embeddings
  ☆52Updated 8 years ago
• uhh-lt / sensegram
  Making sense embedding out of word embeddings using graph-based word sense induction
  ☆212Updated 3 years ago
• soroushv / Tweet2Vec
  Code for the implementation of Tweet2Vec
  ☆61Updated 6 years ago
• short-edition / syntaxnet-wrapper
  Wrapper to use syntaxnet with pre-trained model
  ☆29Updated 6 years ago
• boudinfl / sume
  Sume is an implementation of the concept-based ILP model for summarization.
  ☆38Updated 6 years ago
• argilla-io / get_started_with_deep_learning_for_text_with_allennlp
  Getting started with AllenNLP and PyTorch by training a tweet classifier
  ☆66Updated 7 years ago
• mheilman / tan-clustering
  Hierarchical word clustering, following "Brown clustering" (Brown et al., 1992)
  ☆69Updated 9 years ago
• yuvalpinter / Mimick
  Code for Mimicking Word Embeddings using Subword RNNs (EMNLP 2017)
  ☆153Updated 5 years ago
• Savvysherpa / slda
  Cython implementations of Gibbs sampling for supervised LDA
  ☆61Updated 7 years ago
• cedricdeboom / RepresentationLearning
  Code base for representation learning of very short texts, such as tweets. By Cedric De Boom, IBCN, Ghent University, Belgium.
  ☆37Updated 8 years ago
• pdasigi / onto-lstm
  Keras implementation of ontology aware token embeddings
  ☆48Updated 6 years ago
• cocoxu / SemEval-PIT2015
  data and scripts for the shared task "Task 1: Paraphrase and Semantic Similarity in Twitter (PIT)" at SemEval 2015
  ☆43Updated 4 years ago
• fh295 / SentenceRepresentation
  ☆125Updated 7 years ago
• minimalparts / nonce2vec
  Incremental learning of word embeddings with context informativeness.
  ☆95Updated last year
• composes-toolkit / dissect
  ☆54Updated 9 years ago