A Benchmark of Text Classification in PyTorch
Bidirectional LSTM network for speech emotion recognition.
LSTM and CNN sentiment analysis
Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.
Common Libraries developed in "PyTorch" for different NLP tasks. Sentiment Analysis, NER, LSTM-CRF, CRF, Semantic Parsing
Character level recurrent neural networks for Sentiment Analysis
Project of Paraphrase Identification Based on Weighted URAE, Unit Similarity and Context Correlation Feature
The study explores the connection between Reddit sentiment and Bitcoin market dynamics. Through graphical analysis and deep learning models, it examines the correlation between Reddit sentiment and Bitcoin's price and trading volume. While the results reveal a limited correlation, the study suggests avenues for further model refinement and explorat
Powerful XRP price forecasting using public data. Stacking ensemble (Bi-GRU/LSTM/CNN-LSTM + LightGBM/XGBoost, RidgeR). Fuses market OHLCV (CCXT), news sentiment & top50 whale activity. No API keys or signups. Easy setup. CPU/GPU-ready. Multi-horizon single run forecasting. Backtests + Predictions visuals: plot_charts & in-depth tensorboard dash
Machine Learning Web Application. Helps to visualize a character-by-character breakdown of how sentiment analysis classifies text
Scikit-Learn & Keras LSTM | Projeto voluntário de análise de sentimentos dos tweets da quarentena | Python
An approach for unimodal sentiment analysis behind social media conversations using NLP and Deep Learning.
📈 Suite of a stock price forecaster and a sentiment analysis program built to provide in-depth visualizations, high accuracy, and low resource usage.
Personalized book recommendation system for a user.Similar to Goodreads.
A step-by-step guide to mastering sequence prediction using TensorFlow and LSTM. This repository covers everything from basic linear predictions to advanced multi-step forecasting, many-to-many LSTM models, and real-world applications like stock price forecasting and sales prediction.
Stock Analysis PC is a desktop application built with Python and Tkinter for stock prediction.
💬A Gated Recurrent Neural Network for Supervised Text Classification: detecting hate speech from different online textual genres.
My ML learning journey via FCC
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