├── .agents/ # Workspace agent configurations & guidelines ├── notebooks/ # Jupyter notebooks (original source files) ├── src/ │ ├── preprocessing.py # Indonesian cleaning, slang normalization, and ...

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, ...

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.

Microsoft is reportedly preparing thousands of job cuts as AI spending rises, with sales, consulting, and Xbox among the areas expected to be affected. If you can only read one tech story a day, this ...

Three-day patching deadlines, exposed fuel-tank systems, scams costing billions of dollars, and social media bans for children all gave Tony plenty to unpack in June 2026 Gamaredon in 2025: Leveraging ...

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 ...

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, ...

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 ...

The Baidu open-source sentiment analysis model and latent Dirichlet allocation topic modeling, a widely used machine learning algorithm, were used to assess public engagement, sentiments, and ...