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) ...

Abstract: In this work, a multilingual BERT (mBERT) model for sentiment analysis of text with mixed English and Hindi codes is presented. A common feature of casual communication, especially on ...

Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most common chronic liver disease worldwide, with prevalence increasing in youth. It remains unknown if MASLD ...

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 ...

XRP is catching retail skepticism again in a gauge that has historically proven profitable for contrarian bets. Data from Santiment shows the token’s bullish-to-bearish commentary ratio slipped under ...

BERT-Sentiment-Analysis: A project using BERT-based models to perform sentiment analysis on multilingual text data, with examples in Arabic and English. This repository demonstrates loading, ...

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 ...

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 ...

Sometimes, reading Python code just isn’t enough to see what’s really going on. You can stare at lines for hours and still miss how variables change, or why a bug keeps popping up. That’s where a ...