Camel toolsA suite of Arabic natural language processing tools developed by the CAMeL Lab at New York University Abu Dhabi.
Stars: ✭ 124 (-27.49%)
TextclfTextClf :基于Pytorch/Sklearn的文本分类框架,包括逻辑回归、SVM、TextCNN、TextRNN、TextRCNN、DRNN、DPCNN、Bert等多种模型,通过简单配置即可完成数据处理、模型训练、测试等过程。
Stars: ✭ 105 (-38.6%)
Wallstreetbets Sentiment AnalysisThis program finds the most mentioned ticker on r/wallstreetbets and uses Vader SentimentIntensityAnalyzer to calculate the sentiment analysis.
Stars: ✭ 103 (-39.77%)
AbsapapersWorth-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
Stars: ✭ 142 (-16.96%)
Twitter Sentiment AnalysisThis script can tell you the sentiments of people regarding to any events happening in the world by analyzing tweets related to that event
Stars: ✭ 94 (-45.03%)
NlpThis is where I put all my work in Natural Language Processing
Stars: ✭ 90 (-47.37%)
Labeled Tweet GeneratorSearch for tweets and download the data labeled with its polarity in CSV format
Stars: ✭ 111 (-35.09%)
RSentiment analysis and visualization of real-time tweets using R
Stars: ✭ 127 (-25.73%)
Fine Grained SentimentA comparison and discussion of different NLP methods for 5-class sentiment classification on the SST-5 dataset.
Stars: ✭ 107 (-37.43%)
BixinChinese Sentiment Analysis 中文文本情感分析
Stars: ✭ 104 (-39.18%)
Learning Social Media Analytics With RThis repository contains code and bonus content which will be added from time to time for the book "Learning Social Media Analytics with R" by Packt
Stars: ✭ 102 (-40.35%)
Learn Machine Learning In Two MonthsNhững kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.
Stars: ✭ 1,726 (+909.36%)
Doc2vec📓 Long(er) text representation and classification using Doc2Vec embeddings
Stars: ✭ 92 (-46.2%)
Deep Learning With PythonExample projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.
Stars: ✭ 134 (-21.64%)
Aspect ExtractionAspect extraction from product reviews - window-CNN+maxpool+CRF, BiLSTM+CRF, MLP+CRF
Stars: ✭ 117 (-31.58%)
StockerFinancial Web Scraper & Sentiment Classifier
Stars: ✭ 87 (-49.12%)
Turkish Bert Nlp PipelineBert-base NLP pipeline for Turkish, Ner, Sentiment Analysis, Question Answering etc.
Stars: ✭ 85 (-50.29%)
Nlp PapersPapers and Book to look at when starting NLP 📚
Stars: ✭ 111 (-35.09%)
Sa Papers📄 Deep Learning 中 Sentiment Analysis 論文統整與分析 😀😡☹️😭🙄🤢
Stars: ✭ 111 (-35.09%)
Bulbea🐗 🐻 Deep Learning based Python Library for Stock Market Prediction and Modelling
Stars: ✭ 1,585 (+826.9%)
Rcnn Text ClassificationTensorflow Implementation of "Recurrent Convolutional Neural Network for Text Classification" (AAAI 2015)
Stars: ✭ 127 (-25.73%)
ChatgirlChatGirl is an AI ChatBot based on TensorFlow Seq2Seq Model. ChatGirl 一个基于 TensorFlow Seq2Seq 模型的聊天机器人。(包含预处理过的 twitter 英文数据集,训练,运行,工具代码,来波 Star 。)QQ群:167122861
Stars: ✭ 105 (-38.6%)
Nlp bahasa resourcesA Curated List of Dataset and Usable Library Resources for NLP in Bahasa Indonesia
Stars: ✭ 158 (-7.6%)
Sentimentcoremldemo😃 iOS11 demo application for sentiment polarity analysis.
Stars: ✭ 104 (-39.18%)
Stock PredictionSmart Algorithms to predict buying and selling of stocks on the basis of Mutual Funds Analysis, Stock Trends Analysis and Prediction, Portfolio Risk Factor, Stock and Finance Market News Sentiment Analysis and Selling profit ratio. Project developed as a part of NSE-FutureTech-Hackathon 2018, Mumbai. Team : Semicolon
Stars: ✭ 125 (-26.9%)
PynlpA pythonic wrapper for Stanford CoreNLP.
Stars: ✭ 103 (-39.77%)
GooglelanguagerR client for the Google Translation API, Google Cloud Natural Language API and Google Cloud Speech API
Stars: ✭ 145 (-15.2%)
Stock Market Prediction Web App Using Machine Learning And Sentiment AnalysisStock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall
Stars: ✭ 101 (-40.94%)
Absa kerasKeras Implementation of Aspect based Sentiment Analysis
Stars: ✭ 126 (-26.32%)
SentimentalizerSentiment analysis with Machine Learning
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TiaYour Advanced Twitter stalking tool
Stars: ✭ 98 (-42.69%)
Dan Jurafsky Chris Manning NlpMy solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.
Stars: ✭ 124 (-27.49%)
Ml ClassifierA tool for quickly training image classifiers in the browser
Stars: ✭ 97 (-43.27%)
Onnxt5Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.
Stars: ✭ 143 (-16.37%)
Pytreebank😡😇 Stanford Sentiment Treebank loader in Python
Stars: ✭ 93 (-45.61%)
ContextConText v4: Neural networks for text categorization
Stars: ✭ 120 (-29.82%)
IanA TensorFlow implementation for "Interactive Attention Networks for Aspect-Level Sentiment Classification"
Stars: ✭ 91 (-46.78%)
Machine learning lecturesCollection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.
Stars: ✭ 118 (-30.99%)
Orange3 Text🍊 📄 Text Mining add-on for Orange3
Stars: ✭ 83 (-51.46%)
Hey JetsonDeep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.
Stars: ✭ 161 (-5.85%)
Captcha trainer[验证码识别-训练] This project is based on CNN/ResNet/DenseNet+GRU/LSTM+CTC/CrossEntropy to realize verification code identification. This project is only for training the model.
Stars: ✭ 2,228 (+1202.92%)
Twitter Sentiment Visualisation🌍 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.
Stars: ✭ 132 (-22.81%)