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 ...
Consumer sentiment plunged to near-record lows in November as the slowing job market, stubborn inflation and the government shutdown post increasing problems for President Trump. The University of ...
The report comes days after a lower-than-expected inflation reading. Consumer sentiment worsened in August, snapping two consecutive months of improved attitudes among shoppers as President Donald ...
Consumer sentiment nosedived in April to the lowest level since the peak of the postpandemic inflation surge as President Trump’s trade battles shake the global economy. Sentiment dropped 8.4 percent ...
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 ...
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