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".
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SentimentAnalysisSentiment Analysis: Deep Bi-LSTM+attention model
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brand-sentiment-analysisScripts utilizing Heartex platform to build brand sentiment analysis from the news
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Absa kerasKeras Implementation of Aspect based Sentiment Analysis
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datastories-semeval2017-task6Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".
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Pytorch Sentiment AnalysisTutorials on getting started with PyTorch and TorchText for sentiment analysis.
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ntua-slp-semeval2018Deep-learning models of NTUA-SLP team submitted in SemEval 2018 tasks 1, 2 and 3.
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Dan Jurafsky Chris Manning NlpMy solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.
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Chameleon recsysSource code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
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Sarcasm DetectionDetecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.
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Repo 2016R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation
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rustfstRust re-implementation of OpenFST - library for constructing, combining, optimizing, and searching weighted finite-state transducers (FSTs). A Python binding is also available.
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Deep learning nlpKeras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP
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Absa PytorchAspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析,使用PyTorch实现。
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word2vec-tsneGoogle News and Leo Tolstoy: Visualizing Word2Vec Word Embeddings using t-SNE.
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lstm-attentionAttention-based bidirectional LSTM for Classification Task (ICASSP)
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Paribhashaparibhasha.herokuapp.com/
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levheimcubeNo description or website provided.
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Hey JetsonDeep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.
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Onnxt5Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.
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lda2vecMixing Dirichlet Topic Models and Word Embeddings to Make lda2vec from this paper https://arxiv.org/abs/1605.02019
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wikidata-corpusTrain Wikidata with word2vec for word embedding tasks
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Im2LaTeXAn implementation of the Show, Attend and Tell paper in Tensorflow, for the OpenAI Im2LaTeX suggested problem
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two-stream-cnnA two-stream convolutional neural network for learning abitrary similarity functions over two sets of training data
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visualizationa collection of visualization function
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SA-DLSentiment Analysis with Deep Learning models. Implemented with Tensorflow and Keras.
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Senti4SDAn emotion-polarity classifier specifically trained on developers' communication channels
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analyzing-reddit-sentiment-with-awsLearn how to use Kinesis Firehose, AWS Glue, S3, and Amazon Athena by streaming and analyzing reddit comments in realtime. 100-200 level tutorial.
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DeepLearningReadingDeep Learning and Machine Learning mini-projects. Current Project: Deepmind Attentive Reader (rc-data)
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empythyAutomated NLP sentiment predictions- batteries included, or use your own data
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word2vec-on-wikipediaA pipeline for training word embeddings using word2vec on wikipedia corpus.
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h-transformer-1dImplementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning
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contextualLSTMContextual LSTM for NLP tasks like word prediction and word embedding creation for Deep Learning
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german-sentimentA data set and model for german sentiment classification.
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word-benchmarksBenchmarks for intrinsic word embeddings evaluation.
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NLP-paper🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/
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german-sentiment-libAn easy to use python package for deep learning-based german sentiment classification.
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CrabNetPredict materials properties using only the composition information!
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Text tone analyzerСистема, анализирующая тональность текстов и высказываний.
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deep-learningProjects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a painting, the building of predictive models for Bitcoin price data using Long Short-Term Memory recurrent neural networks (LSTMs) and a tutorial explaining how to build two types of neural network using as input the…
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QuestionClusteringClasificador de preguntas escrito en python 3 que fue implementado en el siguiente vídeo: https://youtu.be/qnlW1m6lPoY
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