Abstract: With the rapid increase in the use of the Internet, sentiment analysis has become one of the most popular fields of natural language processing (NLP). Using sentiment analysis, the implied ...

Abstract: Sentiment analysis is a sub-domain in opinion mining that extracts sentiments from the users’ opinions from text messages. Opinions from E-commerce websites, blogs, online social media, etc.

Most AI tool workflows send the model far more data than it needs. The fix is a simple shift that cuts waste without cutting ...

dataset/ - sample Twitter sentiment data models/ - trained model files main.py - train the model predict.py - predict sentiment for a given tweet requirements.txt - dependencies ...

Correspondence to Dr Alex Griffiths, London School of Economics and Political Science, Centre for Analysis of Risk and Regulation, London WC2A 2AE, UK; a.griffiths{at}lse.ac.uk Background The Care ...

What makes people change their minds, or their behaviour? Social scientists spend a lot of time thinking about this question, ...

New analysis found that ChatGPT, Gemini, Grok, Claude, DeepSeek, and Arya handled political questions very differently, with some showing clearer partisan slants.The Latest Tech News, Delivered to You ...

A view of the H1 2026 threat landscape as seen by ESET telemetry and from the perspective of ESET threat detection and research experts.

Today:Early fog in the far southwest clears quickly. Most areas stay dry with sunshine and variable cloud, though northern and northeastern regions may see isolated showers. Light winds overall, ...

Startup advisor Greg Isenberg recalls the time a presentation to venture capitalists veered off-course. Social media soon proved he isn’t the only one with a ‘weird’ story to tell. When tech ...

Learn what Google’s major AI models do, including Gemini, Veo, Imagen, Nano Banana, Gemma, Lyria, Chirp, and Gemini Nano. If you can only read one tech story a day, this is it. We use cookies and ...

A Machine Learning and Natural Language Processing (NLP) project designed to identify signs of depression and mental health risk from social media posts. The system analyzes textual content, extracts ...