The exponential growth of online platforms has made sentiment analysis and fake news detection two of the most critical challenges in the era of Big Data.

An update on Meta's artificial-intelligence outlook will be "critical for sentiment" as stockholders seek clarity, according ...

Abstract: Multimodal sentiment analysis is an active research area that combines multiple data modalities, e.g., text, image and audio, to analyze human emotions, and benefits a variety of ...

Overview: NLP is widely used in sentiment analysis, chatbots, and content classification.Data scientists combine NLP with ...

Abstract: In social media, individuals often communicate by combining two or more languages leading to the emergence of Code-Mixed data. Analyzing sentiment in Code-Mixed Telugu-English Text (CMTET) ...

This important study presents a meta-analysis confirming a statistically significant association between slow oscillation-spindle coupling and memory formation, although the reported effects are ...

This is a comprehensive data solution designed to streamline the collection, transformation, and analysis of financial data related to gold as a commodity for investment portfolio management. A ...

NLP pipeline for classifying sentiment in financial news and generating weekly summaries of market-moving events. Supports sentiment-informed investment analysis.

Colombia's president Gustavo Petro has introduced a Bill before Congress to reform and replace the country's mining code. His proposal seeks to align the country with energy transition and ...

AI coding tools are getting better fast. If you don’t work in code, it can be hard to notice how much things are changing, but GPT-5 and Gemini 2.5 have made a whole new set of developer tricks ...