Abstract: Sentiment analysis involves identifying and classifying opinions or sentiments expressed in textual data. With the rise of social media platforms, vast amounts of sentiment-rich data are ...

Abstract: With the expansion of social networks, sentiment analysis has become one of the hot topics in machine learning. However, in traditional sentiment analysis, the text is considered of a ...

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 ...

Spread the love“`html Twitter has become a cornerstone of digital communication, offering a platform where ideas, news, and trends are shared in real-time. However, beyond just casual engagement, ...

Spread the love“`html In today’s digital age, the conversation about your brand is happening all around you, often without your knowledge. This is where brand mention monitoring comes into play.

Gensyn price prediction today as AI token jumps after a surprise Upbit listing. Here is why traders are suddenly watching ...

This research develops a sentiment analysis model based on machine learning to understand public perception of this population group. Using a dataset obtained from Twitter/X through content and data ...

Researchers have developed a new "emotionally aware" AI-based model for classifying mental health conditions, which could ...

As energy companies push AI deeper into industrial operations, success increasingly depends on governance, trusted data, and ...

Target built a generative AI system to improve marketing campaign forecasting by retrieving and ranking similar historical ...

New Poll Connects Social Media and Chatbots With Spread of Vaccine Misinformation ...

PETALING JAYA – The banners and bunting are not up, nomination day is yet unknown and campaigning has not officially started, but political parties in Malaysia are already laying the groundwork – and ...