U.S. consumer sentiment plunged to a record low of 47.6 in early April, falling nearly 11% from March. Inflation fears and rising gas prices were key drivers of worsening consumer outlooks. Declines ...

Designing effective lexicons is a critical component of any communications surveillance program, yet even mature teams encounter avoidable pitfalls that diminish accuracy, create operational strain, ...

Abstract: Sentiment analysis aims to understand a person's perspective or attitude toward a particular topic. One of its main challenges is the labeling approach, especially in the context of the ...

Have you ever wondered how businesses sift through mountains of customer feedback to uncover what truly matters? Imagine receiving hundreds, if not thousands, of ...

First, lexicon-based sentiment analysis using the open-source software AFINN was conducted for the Finnish- and Spanish-language datasets. Thereafter, transformer-based deep learning models for ...

Supporting Lexicon Pharmaceuticals’ decision to advance the non-opioid analgesic pilavapadin into late-stage development—despite a topline miss in March—is an “improving” regulatory environment for ...

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 ...

We estimated linear mixed-effects models to analyze changes in language patterns (as measured using Linguistic Inquiry and Word Count) among neurodiverse youth to introduce a novel assessment useful ...

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, ...