Datasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex
Real-time sentiment analysis in Python using twitter's streaming api
Natural Language Toolkit for bahasa Malaysia, https://malaya.readthedocs.io/
Text Cnn Tensorflow
Convolutional Neural Networks for Sentence Classification(TextCNN) implements by TensorFlow
AI-related tutorials. Access any of them for free → https://towardsai.net/editorial
AFINN-based sentiment analysis for Node.js.
Interpretable data visualizations for understanding how texts differ at the word level
Sentiment analysis library for russian language
Aspect Based Sentiment Analysis using End-to-End Memory Networks
Sentiment analysis neural network trained by fine-tuning BERT, ALBERT, or DistilBERT on the Stanford Sentiment Treebank.
Datastories Semeval2017 Task4
Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".
Q-Learning Based Cryptocurrency Trader and Portfolio Optimizer for the Poloniex Exchange
State of the Art Natural Language Processing
Natural Language Processing (NLP) library for Crystal
Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.
Nlp bahasa resources
A Curated List of Dataset and Usable Library Resources for NLP in Bahasa Indonesia
R client for the Google Translation API, Google Cloud Natural Language API and Google Cloud Speech API
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
Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.
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.
Sentiment analysis and visualization of real-time tweets using R
Rcnn Text Classification
Tensorflow Implementation of "Recurrent Convolutional Neural Network for Text Classification" (AAAI 2015)
Smart 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
Keras Implementation of Aspect based Sentiment Analysis
A suite of Arabic natural language processing tools developed by the CAMeL Lab at New York University Abu Dhabi.
ConText v4: Neural networks for text categorization
Aspect extraction from product reviews - window-CNN+maxpool+CRF, BiLSTM+CRF, MLP+CRF
Papers and Book to look at when starting NLP 📚
📄 Deep Learning 中 Sentiment Analysis 論文統整與分析 😀😡☹️😭🙄🤢
🐗 🐻 Deep Learning based Python Library for Stock Market Prediction and Modelling
Fine Grained Sentiment
A comparison and discussion of different NLP methods for 5-class sentiment classification on the SST-5 dataset.
Chinese Sentiment Analysis 中文文本情感分析
A pythonic wrapper for Stanford CoreNLP.
Wallstreetbets Sentiment Analysis
This program finds the most mentioned ticker on r/wallstreetbets and uses Vader SentimentIntensityAnalyzer to calculate the sentiment analysis.
Stock Market Prediction Web App Using Machine Learning And Sentiment Analysis
Stock 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