Abstract: Text mining is the way toward investigating and breaking down a lot of unstructured content information that can distinguish ideas, designs, subjects, catchphrases and different qualities in ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

BERT-Sentiment-Analysis: A project using BERT-based models to perform sentiment analysis on multilingual text data, with examples in Arabic and English. This repository demonstrates loading, ...

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 addition, multiclass sentiment analysis using a fine-tuned Korean bidirectional encoder representations from transformers (KoBERT) model classified sentiments into 6 categories. The multiclass ...

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 ...

Consumer sentiment fell 11% in April, now down over 30% since December 2024, amid broad-based concern about economic conditions. Labor market pessimism is deepening, with unemployment expectations at ...

Social networks have become one of the most significant sources of diverse information that is hard to quantify numerically. Millions of people discuss stock prices daily, despite not being directly ...

Abstract: The volume of user-generated content that the social media space, particularly that of Reddit, produces is unprecedented, which now can be considered an excellent source of analysis for the ...