Abstract: To solve the problems of polysemy and feature extraction in the text sentiment analysis process, a BERT-CNN-BiLSTM-Att hybrid model has been proposed for text sentiment analysis. The BERT ...

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 ...

Consumer sentiment drops to seven-month low, inflation expectations rise Sentiment drop spans age, wealth, and political groups, Trump plans new tariffs, impacting inflation and sentiment Feb 7 ...

And you can do this without having to write computer code in a language like Python. Instead, you only need spreadsheet formulas as simple as: =claudeExtract("sentiment of positive, negative, or ...

This paper examines the link between industrial production and the sentiment expressed in natural language survey responses from U.S. manufacturing firms. We compare several natural language ...

Sentiment analysis, a crucial aspect of Natural Language Processing (NLP), aims to extract subjective information from textual data. With the proliferation of social media platforms like Twitter, ...

Nov 22 (Reuters) - U.S. consumer sentiment ticked up for a fourth straight month in November, led by a big upswing in sentiment among Republicans following Donald Trump's victory in the presidential ...

Abstract: Analyzing and understanding emotional expressions in user comments is a crucial and complex task in business. Conducting text sentiment analysis is of great significance. This paper ...

This paper demonstrates state-of-the-art text sentiment analysis tools while developing a new time-series measure of economic sentiment derived from economic and financial newspaper articles from ...