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 ...

The fresh data marked three consecutive months of worsening shopper attitudes. Consumer sentiment soured in October as a government shutdown threatens to weaken a wobbly economy beset by an uptick in ...

This is a comprehensive data solution designed to streamline the collection, transformation, and analysis of financial data related to gold as a commodity for investment portfolio management. A ...

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, ...

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

Thinking about getting started with data science or maybe just want a better way to handle your Python projects? Anaconda Python is a super popular choice, and for good reason. It bundles a lot 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 ...

HM Business School, Hochschule München University of Applied Sciences, Munich, Germany Characterized by high volatility the energy stock market provides ample research potential for stock market ...

When it comes to data, marketers have focused primarily on the quality of the structured data in their CRM and marketing automation platforms over the past 15 years. In my March article, I discussed ...