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strtsmrt

Stock price trend prediction with news sentiment analysis using deep learning

structured-self-attention

A Structured Self-attentive Sentence Embedding

structured-self-attentive-sentence-embedding

An open-source implementation of the paper ``A Structured Self-Attentive Sentence Embedding'' published by IBM and MILA.

structured-self-attentive-sentence-embedding-1

This is an implementation of paper A-STRUCTURED-SELF-ATTENTIVE-SENTENCE-EMBEDDING by PyTorch.

structured-self-attentive-sentence-embedding-2

A Structured Self-attentive Sentence Embedding Zhouhan Lin, Minwei Feng, Cicero Nogueira dos Santos, Mo Yu, Bing Xiang, Bowen Zhou, Yoshua Bengio, ICLR 2017

task5

td-lstm

Attention-based Aspect-term Sentiment Analysis implemented by tensorflow.

tensor2tensor

A library for generalized sequence to sequence models

tensorflow-tutorial

Tensorflow tutorial from basic to hard

tensorx

✖️ Minimalistic robust library to build neural network models in TensorFlow.

text_classification

all kinds of text classificaiton models and more with deep learning

tflearn

Deep learning library featuring a higher-level API for TensorFlow.

theano-recurrence

Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano

theano_lstm

:microscope: Nano size Theano LSTM module

thinkpython2

LaTeX source and supporting code for Think Python, 2nd edition, by Allen Downey.

torch_light

Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.

towe

Code and data for "Target-oriented Opinion Words Extraction with Target-fused Neural Sequence Labeling" (NAACL2019)

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

treelstm

Tree-structured Long Short-Term Memory networks (http://arxiv.org/abs/1503.00075)

treelstm.pytorch

Tree LSTM implementation in PyTorch

treelstmsentiment

Pytorch implementation of Sentiment Classification in Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks

twitter-sentiment-analysis

tutorial for sentiment analysis on Twitter data using Python

twitter-sentiment-analysis-1

Contains machine learning methods on predicting sentiments for tweets.

vadersentiment

VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.

word2vec-api

Simple web service providing a word embedding model

word2vec-financial-sentiment

Word2vec Financial Sentiment

word2vec-sentiments

Tutorial for Sentiment Analysis using Doc2Vec in gensim (or "getting 87% accuracy in sentiment analysis in under 100 lines of code")

wordvectors

Pre-trained word vectors of 30+ languages

work20