This project demonstrates an end-to-end deep learning pipeline using a Simple Recurrent Neural Network (RNN) to perform sentiment analysis on the IMDB dataset. Train the model: Open simplernn.ipynb ...

This project uses a Recurrent Neural Network (RNN), to classify movie reviews as positive or negative. The goal is to perform sentiment analysis on a dataset of movie reviews using deep learning ...

This study addresses the growing demand for news text classification driven by the rapid expansion of internet information by proposing a classification algorithm based on a Bidirectional Gated ...

A new study finds that while LLMs improve translation accuracy for Indic texts, ​​they still struggle to preserve sentiment ...

EVT, one of Australia’s largest entertainment and hospitality groups, is set to roll out an AI-powered sentiment analysis solution – developed in partnership with Decision Inc., a leading Global ...

Prices can spike or crash unexpectedly due to investor sentiment ... crypto market analysis — from collecting and organizing data to crafting effective prompts that help the model generate ...

According to data from Artificial Analysis, a third-party AI testing outfit, it costs $2,767.05 to evaluate OpenAI’s o1 reasoning model across a suite of seven popular AI benchmarks: MMLU-Pro ...

That conventional wisdom held true for many years. But since Covid struck in 2020, the relationship has reversed: When consumer sentiment has been high, stock returns generally have been low ...