Abstract: In modern era, the increased growth in social media platforms and technologies such as Artificial Intelligence (AI) have gained interest towards multimodal sentiment analysis that includes ...

Abstract: Visual-textual sentiment analysis aims to predict sentiment with the input of a pair of image and text, which poses a challenge in learning effective features for diverse input images. To ...

WASHINGTON, Dec 5 (Reuters) - U.S. consumer sentiment improved in early December, but worries about high prices and the labor market persisted, a survey showed on Friday. The University of Michigan's ...

Traditional bibliometric approaches to research impact assessment have predominantly relied on citation counts, overlooking the qualitative dimensions of how research is received and discussed.

WASHINGTON, Oct 10 (Reuters) - U.S. consumer sentiment was steady in October, with households appearing to shrug off a partial shutdown of the government, though worries about the labor market and ...

LangGraph is a powerful framework by LangChain designed for creating stateful, multi-actor applications with LLMs. It provides the structure and tools needed to build sophisticated AI agents through a ...

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 ...

Californians may receive a text message claiming they owe money for unpaid tolls, and the text may appear as from FasTrak, an electronic toll collection system. The scam is designed to deceive drivers ...

Three business analytics case studies were undertaken, encompassing market basket analysis, customer segmentation, and campaign management. SAS Visual Data Mining and Machine Learning on SAS Viya was ...

Analyzed customer churn using transaction data. Built ML model to predict lapses. Dataset includes customer status, collection/redemption info, and program tenure. Delivered business presentation ...