The Michigan Consumer Sentiment Index fell 3.3 points (-6.2%) to 50.3 this month. This reading makes the November figure the second-lowest sentiment reading of all-time, only trailing the record low ...
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 today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...
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 ...
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 ...
Consumer sentiment lowest since 2022 Signs show that Americans are cutting back on spending due to President Donald Trump's trade wars, soaring tariffs, inflation, and the high cost of groceries.
Abstract: Sentiment analysis and event trend analysis are critical areas of research, offering valuable insights into the emotional landscape surrounding significant events. This research paper ...
Monitoring and extracting trends from web content has become essential for market research, content creation, or staying ahead in your field. In this tutorial, we provide a practical guide to building ...
Better customer retention. By identifying dissatisfaction early, sentiment analysis aids proactive interventions, which helps to reduce churn and improve loyalty. Transformative business insights.
As humans, we use a variety of skills to determine how someone is feeling. We listen to what they’re saying, watch their expression and body language, listen to changes in the tone of their voice, and ...
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