Sentiment Analysis Using Natural Language Processing NLP by Robert De La Cruz Taking the 2016 US Elections as an example, many polls concluded that Donald Trump was going to lose. Just keep in mind that you will have to regularly maintain these types of rule-based models to ensure consistent and improved results. People who sell […]
Category Archives: AI News
Conversational AI Assistant Design: 7 UX UI Best Practices Unlike humans, chatbots will provide consistent, on-brand responses every time based on their training data. The CDC’s chatbot provides consistent, verified information about COVID-19 symptoms, testing, and the latest guidelines directly from the authoritative source. Chatbots can handle customer queries and provide assistance around the clock, […]
‘Materially better’ GPT-5 could come to ChatGPT as early as this summer Whether you’re new to AI or a seasoned pro, this guide will help you through the essentials of Copilot, from understanding what it is and how to sign up, to mastering the art of effective prompts and creating stunning images. More powerful than […]
How to Add Chat Commands for Twitch and YouTube Although the terms chatbot and bot are used interchangeably, there’s a significant difference between them. You can foun additiona information about ai customer service and artificial intelligence and NLP. To the surprise of many, conversational interfaces aren’t a modern invention. They were born out of curiosity and […]
Herding and investor sentiment after the cryptocurrency crash: evidence from Twitter and natural language processing Financial Innovation Full Text According to Haykir and Yagli (2022), herding behavior in cryptocurrency was prominent during the global COVID-19 pandemic. A study of 50 cryptocurrencies also revealed evidence of herding behavior among investors (da Gama Silva et al. 2019). Specific […]
Generative AI Enables Medical Image Segmentation in Ultra Low-Data Regimes Image recognition works by processing digital images through algorithms, typically Convolutional Neural Networks (CNNs), to extract and analyze features like shapes, textures, and colors. These algorithms learn from large sets of labeled images and can identify similarities in new images. The process includes steps like […]