IPython Notebook for training a word-level Convolutional Neural Network model for sentiment classification task on Yelp-Challenge-2016 review dataset.
$ git clone https://github.com/haoopeng/CNN-yelp-challenge-2016-sentiment-classification.git▲ +1 ★ this week
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
AAAI 2024 Papers: Explore a comprehensive collection of innovative research papers presented at one of the premier artificial intelligence conferences. Seamlessly integrate code implementations for better understanding. ⭐ experience the forefront of progress in artificial intelligence with this repository!
▲ +1 ★ this week
Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.
Datasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex
Target-dependent sentiment classification in news articles reporting on political events. Includes a high-quality data set of over 11k sentences and a state-of-the-art classification model.
An implementation in TensorFlow of a convolutional neural network (CNN) to perform sentiment classification on tweets.
Data from GitHub · snapshot Nov 13, 2026