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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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Barbara Brzic, Ivica Boticki and Marina Bagic Babac
Deception in computer-mediated communication represents a threat, and there is a growing need to develop efficient methods of detecting it. Machine learning models have, through natural language processing, proven to be extremely successful at detecting ...
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Liliya Demidova, Dmitry Zhukov, Elena Andrianova and Vladimir Kalinin
To solve the problem of text clustering according to semantic groups, we suggest using a model of a unified lexico-semantic bond between texts and a similarity matrix based on it. Using lexico-semantic analysis methods, we can create ?term?document? matr...
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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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Fahim Sufi
Utilizing social media data is imperative in comprehending critical insights on the Russia?Ukraine cyber conflict due to their unparalleled capacity to provide real-time information dissemination, thereby enabling the timely tracking and analysis of cybe...
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Ayad Rodhan Abbas, Bashar Saadoon Mahdi and Osamah Younus Fadhil
Anticancer peptides (ACPs) are short protein sequences; they perform functions like some hormones and enzymes inside the body. The role of any protein or peptide is related to its structure and the sequence of amino acids that make up it. There are 20 ty...
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Junjie Liu, Yong Yang, Xiaochao Fan, Ge Ren, Liang Yang and Qian Ning
The rapid identification of offensive language in social media is of great significance for preventing viral spread and reducing the spread of malicious information, such as cyberbullying and content related to self-harm. In existing research, the public...
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Tahani Alqurashi
Arabic dialect identification (ADI) has recently drawn considerable interest among researchers in language recognition and natural language processing fields. This study investigated the use of a character-level model that is effectively unrestricted in ...
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Laura Viola, Elisabetta Ronchieri and Claudia Cavallaro
Context?Anomaly detection in a data center is a challenging task, having to consider different services on various resources. Current literature shows the application of artificial intelligence and machine learning techniques to either log files or monit...
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Daniel Yang, Arya Goutam, Kevin Ji and TJ Tsai
This paper studies the problem of identifying piano music in various modalities using a single, unified approach called marketplace fingerprinting. The key defining characteristic of marketplace fingerprinting is choice: we consider a broad range of fing...
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