The COVID-19 pandemic has shaken the world, and the Arab region is no exception. Social media has become a lifeline for sharing news and voicing public thoughts during this tough time. Twitter, in particular, has been a hotspot for Arabic speakers to talk about COVID-19. By diving into Arabic tweets, we can uncover the main themes and feelings that drive these conver...
Figuring out if texts are positive or negative, called sentiment analysis, is super useful in lots of fields. While machines can now do this super fast and accurately, lexicon-based methods have their own perks. They might not be as perfect as machine learning or big language models, but they can work well across different topics and situations. Plus, they can show s...
In today's world, figuring out sentiments from tweets can be tough, especially with issues like short text, abbreviations, and spelling errors. Traditional methods struggle with these challenges, so we need new approaches. Tweets often hide people's emotions, like fear or anxiety, stemming from early experiences. This study explored sentiment analysis of tweets using...
Ever wondered why some Spanish words feel warm and fuzzy, while others make you shudder? Researchers have just discovered an innovative method using artificial intelligence to figure this out. They analyzed over 100, 000 Spanish words, looking at how pleasant, exciting, or concrete they seem. The AI, named GPT-4o, did remarkably well, sometimes outperforming traditio...
Twitter has grown into a bustling community where cryptocurrency experts, or influencers, share their insights. Combining these tweets with historical cryptocurrency prices allows experts to predict market trends accurately. A powerful tool for this is the RoBERTa deep neural network along with BiGRU, used for Sentiment Analysis (SA). This analysis helps investors an...
Understanding what people think about specific parts of products or services is crucial, especially in the online business world. Early attempts at sentiment analysis lumped opinions into overall document or sentence categories, missing the finer points. Aspect-based sentiment analysis (ABSA) stepped in to link sentiments to particular aspects mentioned in reviews. ...
Ever heard of Stock Waves? It's a team led by Zac Mannes and Garrett Patten, with Lyn Alden Schwartzer as a contributor. They focus on real-time technical analysis using the Elliott Wave method. One investor, Nicole, shared her experience, saying she had some big wins, like 7-10 times her investment. Even her smaller gains were impressive, like 3-5 times her money. ...
The United States Congress is on the verge of a showdown over government funding and voter eligibility, with Speaker Mike Johnson announcing plans to bring a stopgap proposal to the floor for a vote on Wednesday. The move comes after Johnson was forced to pull the proposal last week due to widespread opposition from his own party members. Johnson's plan pairs a six-...