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

paribhasha.herokuapp.com/

Repository with all what is necessary for sentiment analysis and related areas

Scripts utilizing Heartex platform to build brand sentiment analysis from the news

Datasets, tools, and benchmarks for representation learning of code.

基于在线民宿 UGC 数据的意见挖掘项目，包含数据挖掘和NLP 相关的处理，负责数据采集、主题抽取、情感分析等任务。目的是克服用户打分和评论不一致，实时对在线民宿的满意度评测，包含在线评论采集和情感可视化分析。搭建了百度地图POI查询入口，可以进行自动化的批量查询 POI 信息的功能；构建了基于在线民宿语料的 LDA 自动主题聚类模型，利用主题中心词能找出对应的主题属性字典；以用户打分作为标注，然后 litNlp 自带的字符级 TextCNN 进行情感分析，将情感分类概率分布作为情感趋势，最后通过 POI 热力图的方式对不同地域的民宿满意度进行展示。软件版本请见链接。

Tensorflow implementation of attention mechanism for text classification tasks.

Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.

Resources for learning about Text Mining and Natural Language Processing

Project 4 for Metis bootcamp. Objective was generation of character-level RNN trained on Donald Trump's statements using Keras. Also generated Markov chains, and quick pyTorch RNN as baseline. Attempted semi-supervised GAN, but was unable to test in time.

Sentiment Analysis: Deep Bi-LSTM+attention model

All about Neural Networks!

📚 Text classification library with Keras

Sentiment Analysis with LSTMs in Tensorflow

Sentiment Analysis using Stochastic Gradient Descent on 50,000 Movie Reviews Compiled from the IMDB Dataset

Machine Learning (EE 5184) in NTU

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

Sentiment analysis of tweets in Russian using Convolutional Neural Networks (CNN) with Word2Vec embeddings.

💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA

Natural Language Processing with TensorFlow, published by Packt

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

📓 Long(er) text representation and classification using Doc2Vec embeddings

My solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.

RETIRED - OpenSTT is now retired. If you would like more information on Mycroft AI's open source STT projects, please visit:

A Curated List of Dataset and Usable Library Resources for NLP in Bahasa Indonesia

PyTorch implementation of Full Resolution Image Compression with Recurrent Neural Networks

Character-level Convolutional Neural Networks for text classification in PyTorch

Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.

Porting of Skip-Thoughts pretrained models from Theano to PyTorch & Torch7

NLP Tensorflow Tutorials

This repository is for my students of Udemy. You can find all lecture codes along with mentioned files for reading in here. So, feel free to clone it and if you have any problem just raise a question.

Chinese Poetry Generation

data resource untuk NLP bahasa indonesia

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

Attention-based multimodal fusion for sentiment analysis

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

Hand-gesture recognition on iOS app using CoreML

Variational Auto-Encoders in a Sequential Setting.

End-to-end speech recognition using RNN Transducers in Tensorflow 2.0

Worth-reading papers and related awesome resources on aspect-based sentiment analysis (ABSA). 值得一读的方面级情感分析论文与相关资源集合

Sentiment Classification using Word Sense Disambiguation

Code for Java Deep Learning Cookbook

基于RNN生成古诗

Lazy, AI chatbot service.

A Bitcoin trade robot based on Tensorflow LSTM model.Just for fun.

Query-Reduction Networks (QRN)

Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"

Sentence Classifications with Neural Networks

借助Python抓取微博数据，并对抓取的数据进行情绪分析

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

PyTorch Implementation of "A Hierarchical Latent Structure for Variational Conversation Modeling" (NAACL 2018 Oral)

Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot

An overview of the AI-as-a-service landscape

Important paper implementations for Question Answering using PyTorch

🌍 The R&D of a sentiment analysis module, and the implementation of it on real-time social media data, to generate a series of live visual representations of sentiment towards a specific topic or by location in order to find trends.

Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"

Music genre classification with LSTM Recurrent Neural Nets in Keras & PyTorch

This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera