Text-AnalysisExplaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.
Stars: ✭ 48 (+77.78%)
Mutual labels: text-mining, word2vec, word-embeddings, lda
Text2vecFast vectorization, topic modeling, distances and GloVe word embeddings in R.
Stars: ✭ 715 (+2548.15%)
Mutual labels: text-mining, word2vec, word-embeddings, topic-modeling
ScattertextBeautiful visualizations of how language differs among document types.
Stars: ✭ 1,722 (+6277.78%)
Mutual labels: text-mining, word2vec, word-embeddings, topic-modeling
GensimTopic Modelling for Humans
Stars: ✭ 12,763 (+47170.37%)
Mutual labels: word2vec, word-embeddings, topic-modeling
Dict2vecDict2vec is a framework to learn word embeddings using lexical dictionaries.
Stars: ✭ 91 (+237.04%)
Mutual labels: word2vec, word-embeddings, embeddings
MagnitudeA fast, efficient universal vector embedding utility package.
Stars: ✭ 1,394 (+5062.96%)
Mutual labels: word2vec, word-embeddings, embeddings
Lmdb EmbeddingsFast word vectors with little memory usage in Python
Stars: ✭ 404 (+1396.3%)
Mutual labels: text, word2vec, embeddings
kwxBERT, LDA, and TFIDF based keyword extraction in Python
Stars: ✭ 33 (+22.22%)
Mutual labels: text-mining, topic-modeling, lda
word2vec-tsneGoogle News and Leo Tolstoy: Visualizing Word2Vec Word Embeddings using t-SNE.
Stars: ✭ 59 (+118.52%)
Mutual labels: word2vec, word-embeddings, embeddings
Lda Topic ModelingA PureScript, browser-based implementation of LDA topic modeling.
Stars: ✭ 91 (+237.04%)
Mutual labels: text-mining, topic-modeling, lda
NMFADMMA sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).
Stars: ✭ 39 (+44.44%)
Mutual labels: word2vec, topic-modeling, lda
JoSH[KDD 2020] Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding
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Mutual labels: text-mining, word-embeddings, topic-modeling
sentiment-analysis-of-tweets-in-russianSentiment analysis of tweets in Russian using Convolutional Neural Networks (CNN) with Word2Vec embeddings.
Stars: ✭ 51 (+88.89%)
Mutual labels: word2vec, word-embeddings, embeddings
Dna2vecdna2vec: Consistent vector representations of variable-length k-mers
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Mutual labels: word2vec, word-embeddings, embeddings
KGE-LDAKnowledge Graph Embedding LDA. AAAI 2017
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Mutual labels: embeddings, topic-modeling, lda
ShallowlearnAn experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.
Stars: ✭ 196 (+625.93%)
Mutual labels: text-mining, word2vec, word-embeddings
converseConversational text Analysis using various NLP techniques
Stars: ✭ 147 (+444.44%)
Mutual labels: text-mining, text, topic-modeling
tomoto-rubyHigh performance topic modeling for Ruby
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Mutual labels: topic-modeling, lda
contextualLSTMContextual LSTM for NLP tasks like word prediction and word embedding creation for Deep Learning
Stars: ✭ 28 (+3.7%)
Mutual labels: word-embeddings, topic-modeling
