An analysis of policy documents from 116 R1 U.S. universities found that 63% of these institutions encourage the use of generative AI, with 41% offering detailed guidance for its use in the classroom.

Consumer sentiment rebounded sharply in June, rising 16% from May, though still 20% below its December 2024 peak. Inflation expectations dropped significantly, with short-term forecasts falling to ...

随着互联网技术的快速发展和政府网络问政平台的广泛建设，海量的公众诉求和政府回应文本数据日益积累。精准把握网络问政文本中蕴含的民意，对于提升政府治理能力具有重要意义。然而，现有研究在处理细粒度、多标签的情感表示时仍存在局限性，且大 ...

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, ...

Sentiment analysis, i.e., determining the emotional tone of a text, has become a crucial tool for researchers, developers, and businesses to comprehend social media trends, consumer feedback, and ...

Abstract: With the development of deep learning, short text sentiment classification technology has made significant progress. However, accurately identifying sentiment in short texts remains a major ...

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 ...