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

Machine Learning Web Application. Helps to visualize a character-by-character breakdown of how sentiment analysis classifies text

Project of Paraphrase Identification Based on Weighted URAE, Unit Similarity and Context Correlation Feature

📈 Suite of a stock price forecaster and a sentiment analysis program built to be highly accurate and thorough for machines with low resources.

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.

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

Personalized book recommendation system for a user.Similar to Goodreads.

💬A Gated Recurrent Neural Network for Supervised Text Classification: detecting hate speech from different online textual genres.

the model for weather

Assignment of Introduction to Artificial Intelligence

Rede Neural Artificial para análise de sentimentos em sentenças em língua inglesa. A Rede Neural Artificial Recursiva Long Short-Term Memory foi implementada para o treinamento do modelo de análise. Com a aplicação da RNA desenvolvida sobre uma base de dados pública com 50.000 registros de filmes usando GPU foi possível reduzir o tempo de treina…

Trained over 30,000 data to predict the outcome of the subscription by customer.

🍿 Analyze movie 🎥 reviews with LSTM RNN to uncover audience 😄 sentiments and 🎯 ratings using the IMDB dataset.🎬