For decades, the financial industry believed technology would make markets more rational. The logic seemed undeniable.
Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...
ABSTRACT: This paper proposes a noise-aware multi-task transformer framework that jointly performs aspect extraction (AE) and aspect sentiment classification (ASC) using a shared BERT/RoBERTa encoder ...
Abstract: The presented work describes the training of three machine learning models (Logistic Regression, Support Vector Machine, Naive Bayes) for sentiment analysis of Uzbek user reviews in the ...
Elon Musk's social network X (formerly known as Twitter) last night released some of the code and architecture of its overhauled social recommendation algorithm under a permissive, enterprise-friendly ...
LinkedIn's algorithm has changed, making old tactics obsolete. Align your profile with content topics. Prioritize "saves" as the key engagement metric by creating valuable, referenceable content. Post ...
TikTok’s algorithm favors mental health content over many other topics, including politics, cats and Taylor Swift, according to a Washington Post analysis. At first, the mental health-related videos ...
The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...
Have you ever wondered how businesses sift through mountains of customer feedback to uncover what truly matters? Imagine receiving hundreds, if not thousands, of product reviews, emails, or survey ...
ABSTRACT: 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 ...
Abstract: To tackle the challenge of data diversity in sentiment analysis and improve the accuracy and generalization ability of sentiment analysis, this study first cleans, denoises, and standardizes ...
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