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Xingxing Tong, Ming Chen and Guofu Feng
The issue of aquatic product quality and safety has gradually become a focal point of societal concern. Analyzing textual comments from people about aquatic products aids in promptly understanding the current sentiment landscape regarding the quality and...
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Naglaa Abdelhady, Ibrahim E. Elsemman, Mohammed F. Farghally and Taysir Hassan A. Soliman
Due to the widespread distribution of coronavirus and the existence of a massive quantity of data on social networking sites, particularly Twitter, there was an urgent need to develop a model that evaluates users? emotions and determines how they feel ab...
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Aman Ullah, Khairullah Khan, Aurangzeb Khan and Shoukat Ullah
The trend of E-commerce and online shopping is increasing rapidly. However, it is difficult to know about the quality of items from pictures and videos available on the online stores. Therefore, online stores and independent products reviews sites share ...
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Qiang He, Guowei Chen, Wenchao Song and Pengzhou Zhang
Named entity recognition (NER) is a subfield of natural language processing (NLP) that identifies and classifies entities from plain text, such as people, organizations, locations, and other types. NER is a fundamental task in information extraction, inf...
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Amin Samman
Pág. Finance an - 60
There is no proper place within economic thought for the void. It appears nowhere in the canonical texts of political economy, let alone the discourse of conventional economics. Yet one cannot shake the sense that it is implied in most if not all financi...
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Monika Momot, Barbara Stawicka and Aleksandra Szydlowska-Czerniak
Cold-pressed camelina oil (CPCO) is exceptional seed oil with a unique fatty acid profile promoting health and wellness. Therefore, this work focused on estimating and comparing the physicochemical properties and sensory quality of eight CPCO samples ava...
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Xiaohui Cui, Yu Yang, Dongmei Li, Xiaolong Qu, Lei Yao, Sisi Luo and Chao Song
Recently, researchers have extensively explored various methods for electronic medical record named entity recognition, including character-based, word-based, and hybrid methods. Nonetheless, these methods frequently disregard the semantic context of ent...
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Olga Guiban, Antonello Rubini, Gianfranco Vallone, Corrado Caiazzo, Marco Di Serafino, Federica Pediconi, Laura Ballesio, Federica Trenta, Corrado De Vito, Arenta Shkelqimi, Ludovica Costanzo, Daniele Fresilli, Veronica Rizzo, Vito Cantisani and Massimo Vergine
Background: Ultrasound plays a crucial role in early diagnosis of breast cancer. The aim of this research is to evaluate the diagnostic performance of BI-RADS classification in comparison with new semi-automatic software Resona R9, Mindray, ?SmartBreast?...
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Shuang Lu, Jianyun Huang and Jing Wu
In the contexts of global climate change and the urbanization process, urban flooding poses significant challenges worldwide, necessitating effective rapid assessments to understand its impacts on various aspects of urban systems. This can be achieved th...
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Dauren Ayazbayev, Andrey Bogdanchikov, Kamila Orynbekova and Iraklis Varlamis
This work focuses on determining semantically close words and using semantic similarity in general in order to improve performance in information retrieval tasks. The semantic similarity of words is an important task with many applications from informati...
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