DeepSentiPersRepository for the experiments described in the paper named "DeepSentiPers: Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment Corpus"
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Mutual labels: sentiment-analysis, lstm, fasttext-embeddings, persian-sentiment, persian-sentiment-analysis
Neural NetworksAll about Neural Networks!
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Mutual labels: sentiment-analysis, word2vec, lstm, fasttext
fsauor2018基于LSTM网络与自注意力机制对中文评论进行细粒度情感分析
Stars: ✭ 36 (+20%)
Mutual labels: sentiment-analysis, word2vec, lstm
MagnitudeA fast, efficient universal vector embedding utility package.
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Mutual labels: word2vec, embeddings, fasttext
SentimentAnalysisSentiment Analysis: Deep Bi-LSTM+attention model
Stars: ✭ 32 (+6.67%)
Mutual labels: sentiment-analysis, embeddings, lstm
Embedding As ServiceOne-Stop Solution to encode sentence to fixed length vectors from various embedding techniques
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Mutual labels: word2vec, embeddings, fasttext
Finalfusion Rustfinalfusion embeddings in Rust
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Mutual labels: word2vec, embeddings, fasttext
Cw2veccw2vec: Learning Chinese Word Embeddings with Stroke n-gram Information
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Mutual labels: word2vec, embeddings, fasttext
Lmdb EmbeddingsFast word vectors with little memory usage in Python
Stars: ✭ 404 (+1246.67%)
Mutual labels: word2vec, embeddings, fasttext
Datastories Semeval2017 Task4Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".
Stars: ✭ 184 (+513.33%)
Mutual labels: sentiment-analysis, embeddings, lstm
Pytorch Sentiment AnalysisTutorials on getting started with PyTorch and TorchText for sentiment analysis.
Stars: ✭ 3,209 (+10596.67%)
Mutual labels: sentiment-analysis, lstm, fasttext
SentimentAnalysis(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset
Stars: ✭ 40 (+33.33%)
Mutual labels: word2vec, embeddings, lstm
sentiment-analysis-of-tweets-in-russianSentiment analysis of tweets in Russian using Convolutional Neural Networks (CNN) with Word2Vec embeddings.
Stars: ✭ 51 (+70%)
Mutual labels: sentiment-analysis, word2vec, embeddings
NTUA-slp-nlp💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA
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Mutual labels: sentiment-analysis, word2vec
PersianQAPersian (Farsi) Question Answering Dataset (+ Models)
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Mutual labels: farsi, persian-nlp
coderzcoderz.ir
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Mutual labels: persian, farsi
Persian-OCROptical character recognition of Farsi and Arabic letters
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Mutual labels: persian, farsi
WudoohBrowser extension that allows Arabic script modifications for clarity and customization
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Mutual labels: persian, farsi