This study introduces an approach leveraging deep neural networks to identify high-level, abstract concepts in visual user-generated content (UGC) for restaurants, and proposes two weak labeling methods: one utilizing existing restaurant-quality signals, and the other extracting relevant labels from review texts via questionnaires.
With the rapid development and popularization of network technology, the internet has become an indispensable part of people's daily lives. At the same time, the analysis and recommendation of online user behavior have become important links in the development of the internet. This study proposes a unified framework th...
Bing Zhang, Chen-He Yang· Journal of Engineering, Proj...· 0 citations
A Four-Level Hierarchical Attention Network (4HAN) that incorporates word-, sentence-, and headline-level attention, along with Hypergraph Convolution and Hypergraph Attention, is proposed using the LIAR dataset and shows a detection accuracy rate of 96.00%, which beats multiple existing methodologies in fake news dete...
Alpana A. Borse, Gajanan K. Kharate, N. Wasatkar· Journal of Intelligent Decis...· 0 citations
Hotel-generated social media content functions as key market-facing signals for prospective consumers seeking information to support decision-making, while property-level information serves as structural signals. Despite their growing relevance, limited research has examined the roles of these signals in forecastin...
Ningqiao Li, Minwoo Lee, A. DeFranco et al.· International Journal of Con...· 0 citations
The widespread use of digital news services, social media, and instant communication channels has made information dissemination faster and more accessible, but it has also increased the spread of misleading and fabricated content. This paper introduces VeriNews, an explainable artificial intelligence framework for ass...
Prof. Manisha Bharatram Bannagare, Mr. Kushal Mano, Mr. Junaid Ahmad Javed Ahmad Khan, Ms. Kasturi Des, Mr. Jay Satishrao Chachane, Mr. Kartik Vilasrao Th· International Journal of Adv...· 0 citations
Abstract Background Online social support, the interaction among individuals in which one helps another during difficult situations through online platforms such as online forums or social media, has proliferated as a vital tool for personal mental health care. Despite the growing usage and importance of online social...
D. Park, Daejin Choi· Journal of Medical Internet...· 0 citations
HEF-XFND is proposed, a hybrid explainable feature-fusion framework that combines sparse lexical evidence, contextual transformer representations, source-level credibility indicators, and calibrated ensemble learning that addresses three recurring limitations in fake-news research.
Raju M, Subalakshmi Kannan, P. P.· International journal of res...· 0 citations
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