713 Open source projects that are alternatives of or similar to Pytorch Sentiment Neuron

SemEval-2022 Shared Task 10: Structured Sentiment Analysis

BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)

Text visualization tools

performing sentiment analysis on the whatsapp chats.

LanguageCrunch NLP server docker image

Sentiment Analysis with Deep Learning models. Implemented with Tensorflow and Keras.

Word Embedding + LSTM + FC

📖 A curated list of resources dedicated to Natural Language Processing (NLP) in the Yoruba Language.

RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.

Probabilistic Dialogue Act Classification for the Switchboard Corpus using an LSTM model

基于Word2Vec+SVM对电商的评论数据进行情感分析

A .NET MAUI app for displaying the top posts on Hacker News that demonstrates text sentiment analysis gathered using artificial intelligence

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

Lectures in Urban Data Science Lab, Seoul

R client for the Google Translation API, Google Cloud Natural Language API and Google Cloud Speech API

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Experiment diverse Deep learning models for music generation with TensorFlow

A marketing tool that helps you to market your products using organic marketing. This tool can potentially save you 1000s of dollars every year. The tool predicts the reach of your posts on social media and also suggests you hashtags for captions in such a way that it increases your reach.

PPPL deep learning disruption prediction package

Uses RNN on the Nietzsche dataset

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

Fine-grained Sentiment Classification Using BERT

Papers and Book to look at when starting NLP 📚

NLP tutorial

Differentiable Neural Computers, Sparse Access Memory and Sparse Differentiable Neural Computers, for Pytorch

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

Sentiment Analysis LSTM recurrent neural network's.

Update Version of weibo_terminator, This is Workflow Version aim at Get Job Done!

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Attention-based multimodal fusion for sentiment analysis

Fine-grained Sentiment Analysis of User Reviews --- AI CHALLENGER 2018

NLP with NLTK for Sentiment analysis amazon Products Reviews

An Artificial Intelligence Platform for IT Operations.

Predict an emoji that is associated with a text

Word semantics Deep Learning with Vanilla Python, Keras, Theano, TensorFlow, PyTorch

In these notebooks the entire research and implementation process carried out for the construction of various machine learning models based on neural networks that are capable of predicting levels of solar radiation is captured given a set of historical data taken by meteorological stations.

📄 Deep Learning 中 Sentiment Analysis 論文統整與分析 😀😡☹️😭🙄🤢

An experimental web text editor that runs a LSTM model while you write to suggest new lines

Deep Learning Specialization by Andrew Ng on Coursera - My Completed Coursework Repo - All 5 Courses

Collection of papers on Emotion Cause Analysis

Sentiment Analysis on the First Republic Party debate in 2016 based on Python,NLTK and ML.

📓 Notes for Andrew Ng's courses on deep learning

Computer-generated poetry

Codice sorgente ed Errata Corrige del mio libro "A tu per tu col Machine Learning"

Variational Auto-Encoders in a Sequential Setting.

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recaptcha with lstm and mxnet

Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.

A TensorFlow implementation of the collaborative RNN (Ko et al, 2016).

Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)

A docker image for sentiment analysis on tensorflow

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Stock price trend prediction with news sentiment analysis using deep learning

TF2.0 / TensorFlow 2.0 / TensorFlow2.0 官方文档中文版

Pytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)

Natural Language Processing (NLP) library for Crystal

Load forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

Use tensorflow's tf.scan to build vanilla, GRU and LSTM RNNs