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Thoralf Reis, Lukas Dumberger, Sebastian Bruchhaus, Thomas Krause, Verena Schreyer, Marco X. Bornschlegl and Matthias L. Hemmje
Manual labeling and categorization are extremely time-consuming and, thus, costly. AI and ML-supported information systems can bridge this gap and support labor-intensive digital activities. Since it requires categorization, coding-based analysis, such a...
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Tong Heng, Yingjie Ma, Pengrui Ai, Zhenyue Liu, Miao Wu and Changjiang Liu
Soil salinity is a major soil threat, causing severe environmental problems. Soil salt stress limits N uptake and cotton growth, especially in arid regions. However, the mechanism underlying stress tolerance in cotton plants under different soil salinity...
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Nasir Ayub, Tayyaba, Saddam Hussain, Syed Sajid Ullah and Jawaid Iqbal
Sentiment analysis holds great importance within the domain of natural language processing as it examines both the expressed and underlying emotions conveyed through review content. Furthermore, researchers have discovered that relying solely on the over...
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Yu Guo, Guigen Nie, Wenliang Gao and Mi Liao
Semantic segmentation is a critical task in computer vision that aims to assign each pixel in an image a corresponding label on the basis of its semantic content. This task is commonly referred to as dense labeling because it requires pixel-level classif...
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Mario Michelessa, Christophe Hurter, Brian Y. Lim, Jamie Ng Suat Ling, Bogdan Cautis and Carol Anne Hargreaves
Social networks have become important objects of study in recent years. Social media marketing has, for example, greatly benefited from the vast literature developed in the past two decades. The study of social networks has taken advantage of recent adva...
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Matthew Spradling and Jeremy Straub
Online content is consumed by most Americans and is a primary source of their news information. It impacts millions? perception of the world around them. Problematically, individuals who seek to deceive or manipulate the public can use targeted online co...
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Hongliang Liu, Nianxue Luo and Qiansheng Zhao
China is one of the countries most affected by typhoon disasters. It is of great significance to study the mechanism of typhoon disasters and construct a typhoon disaster chain for emergency management and disaster reduction. The evolution process of typ...
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Tajana Ban Kirigin, Sanda Bujacic Babic and Benedikt Perak
We present a graph-based method for the lexical task of labeling senses of polysemous lexemes. The labeling task aims at generalizing sense features of a lexical item in a corpus using more abstract concepts. In this method, a coordination dependency-bas...
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Ryan Suttle, Scott Hogan, Rachel Aumaugher, Matthew Spradling, Zak Merrigan and Jeremy Straub
Fake news is prevalent in society. A variety of methods have been used in an attempt to mitigate the spread of misinformation and fake news ranging from using machine learning to detect fake news to paying fact checkers to manually fact check media to en...
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Matthew Spradling, Jeremy Straub and Jay Strong
So-called ?fake news??deceptive online content that attempts to manipulate readers?is a growing problem. A tool of intelligence agencies, scammers and marketers alike, it has been blamed for election interference, public confusion and other issues in the...
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