Abstract: Social media platforms, particularly Twitter, have become vital sources for understanding public sentiment due to the rapid, large-scale generation of user opinions. Sentiment analysis of ...
Introduction: The launch of DeepSeek, a Chinese open-source generative AI model, generated substantial discussion regarding its capabilities and implications. The r/deepseek subreddit emerged as a key ...
The use of modern technologies, including Immersive Mixed Reality (IMR) technologies, to present information on climate change has become essential due to their ability to simplify information and ...
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This project analyzes Twitter sentiment regarding Indonesian protests that occurred in late August to early September, and examines their effect on the economy. twitter_sentiment_analysis/ ├── src/ │ ...
Have you ever wondered how businesses sift through mountains of customer feedback to uncover what truly matters? Imagine receiving hundreds, if not thousands, of ...
In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper presents a ...
Understanding what the markets will do before the competition realizes the same thing is a cornerstone of success in the financial services industry. While talented market watchers rely on their own ...
The analysis pipeline was implemented using Python’s Natural Language Toolkit, Gensim, and scikit-learn libraries, with hyperparameter tuning to maximize model performance. Results: Sentiment analysis ...
In this tutorial, we will look into how to easily perform sentiment analysis on text data using IBM’s open-source Granite 3B model integrated with Hugging Face Transformers. Sentiment analysis, a ...