guillitte / Pytorch Sentiment Neuron
Licence: mit
Stars: ✭ 178
Programming Languages
python
139335 projects - #7 most used programming language
Projects that are alternatives of or similar to Pytorch Sentiment Neuron
Thesemicolon
This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
Stars: ✭ 345 (+93.82%)
Mutual labels: rnn, sentiment-analysis
Lstm Sentiment Analysis
Sentiment Analysis with LSTMs in Tensorflow
Stars: ✭ 886 (+397.75%)
Mutual labels: rnn, sentiment-analysis
Text mining resources
Resources for learning about Text Mining and Natural Language Processing
Stars: ✭ 358 (+101.12%)
Mutual labels: sentiment-analysis, nlp-machine-learning
SentimentAnalysis
Sentiment Analysis: Deep Bi-LSTM+attention model
Stars: ✭ 32 (-82.02%)
Mutual labels: sentiment-analysis, nlp-machine-learning
Doc2vec
📓 Long(er) text representation and classification using Doc2Vec embeddings
Stars: ✭ 92 (-48.31%)
Mutual labels: sentiment-analysis, nlp-machine-learning
ML2017FALL
Machine Learning (EE 5184) in NTU
Stars: ✭ 66 (-62.92%)
Mutual labels: sentiment-analysis, rnn
Tf Rnn Attention
Tensorflow implementation of attention mechanism for text classification tasks.
Stars: ✭ 735 (+312.92%)
Mutual labels: rnn, sentiment-analysis
AI-Sentiment-Analysis-on-IMDB-Dataset
Sentiment Analysis using Stochastic Gradient Descent on 50,000 Movie Reviews Compiled from the IMDB Dataset
Stars: ✭ 55 (-69.1%)
Mutual labels: sentiment-analysis, nlp-machine-learning
Text Classification Keras
📚 Text classification library with Keras
Stars: ✭ 53 (-70.22%)
Mutual labels: sentiment-analysis, nlp-machine-learning
Predicting Myers Briggs Type Indicator With Recurrent Neural Networks
Stars: ✭ 43 (-75.84%)
Mutual labels: rnn, nlp-machine-learning
NTUA-slp-nlp
💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA
Stars: ✭ 19 (-89.33%)
Mutual labels: sentiment-analysis, nlp-machine-learning
Dan Jurafsky Chris Manning Nlp
My solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.
Stars: ✭ 124 (-30.34%)
Mutual labels: sentiment-analysis, nlp-machine-learning
sentiment-analysis-of-tweets-in-russian
Sentiment analysis of tweets in Russian using Convolutional Neural Networks (CNN) with Word2Vec embeddings.
Stars: ✭ 51 (-71.35%)
Mutual labels: sentiment-analysis, nlp-machine-learning
Customer satisfaction analysis
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。
Stars: ✭ 262 (+47.19%)
Mutual labels: sentiment-analysis, nlp-machine-learning
brand-sentiment-analysis
Scripts utilizing Heartex platform to build brand sentiment analysis from the news
Stars: ✭ 21 (-88.2%)
Mutual labels: sentiment-analysis, nlp-machine-learning
Awesome Sentiment Analysis
Repository with all what is necessary for sentiment analysis and related areas
Stars: ✭ 459 (+157.87%)
Mutual labels: sentiment-analysis, nlp-machine-learning
Paribhasha
paribhasha.herokuapp.com/
Stars: ✭ 21 (-88.2%)
Mutual labels: sentiment-analysis, nlp-machine-learning
presidential-rnn
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.
Stars: ✭ 26 (-85.39%)
Mutual labels: rnn, nlp-machine-learning
Neural Networks
All about Neural Networks!
Stars: ✭ 34 (-80.9%)
Mutual labels: rnn, sentiment-analysis
Codesearchnet
Datasets, tools, and benchmarks for representation learning of code.
Stars: ✭ 1,378 (+674.16%)
Mutual labels: rnn, nlp-machine-learning
pytorch-sentiment-neuron
Requires pytorch, cuda and python 3.5
Pytorch version of generating-reviews-discovering-sentiment : https://github.com/openai/generating-reviews-discovering-sentiment
Sample command :
python visualize.py -seq_length 1000 -cuda -load_model mlstm_ns.pt -temperature 0.4 -neuron 2388 -init "I couldn't figure out"
Click on release to get model file mlstm_ns.pt or numpy weights.
The lm.py file allows you to retrain the model on new data. For instance :
python lm.py -seq_length 50 -batch_size 64 -rnn_size 4096 -embed_size 64 -layers 1 -learning_rate 0.001 -cuda -load_model mlstm_ns.pt -save_model mlstm -rnn_type mlstm -dropout 0 -train data/your_input_file.txt -valid data/your_validation_file.txt
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].