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Plagiarism types and detection methods: a systematic survey of algorithms in text analysis
Frontiers in Computer SciencePlagiarism in academic and creative writing continues to be a significant challenge, driven by the exponential growth of digital content. This paper presents a systematic survey of various types of plagiarism and the detection algorithms employed in text
Altynbek Amirzhanov +2 more
doaj +1 more source
Improving classification in protein structure databases using text mining [PDF]
, 2009 Background: The classification of protein domains in the CATH resource is primarily based on structural comparisons, sequence similarity and manual analysis.
Jones, DT +11 more
core +1 more source
FEBS Open Bio, EarlyView.The dFoCC pipeline starts with observed DED and resting‐state coordinates, which are then used to generate a library of triggered states. Correlation analysis of the calculated DED features of each candidate vs observed DED permits quantitative evaluation of candidate structural quality.
Meng Iao Fong +3 more
wiley +1 more source
A deep learning approach for robust traffic accident information extraction from online chinese news
IET Intelligent Transport SystemsRoad traffic accidents are the leading causes of injuries and fatalities. Understanding the traffic accident occurrence pattern and its contributing factors are prerequisites for effective traffic safety management.
Yancheng Ling +3 more
doaj +1 more source
New techniques used in automated text analysis [PDF]
Automated analysis of natural language texts is one of the most important knowledge discovery tasks for any organization. According to Gartner Group, almost 90% of knowledge available at an organization today is dispersed throughout piles of documents ...
Mihai ISTRATE
core
Introducing Connected Concept Analysis : A network approach to big text datasets
, 2016 This paper introduces Connected Concept Analysis (CCA) as a framework for text analysis which ties qualitative and quantitative considerations together in one unified model.
Lindgren, Simon,
core +1 more source
RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells
FEBS Open Bio, EarlyView.RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour +2 more
wiley +1 more source
The Power of Interaction: Fan Growth in Livestreaming E-Commerce
Journal of Theoretical and Applied Electronic Commerce ResearchFan growth serves as a critical performance indicator for the sustainable development of livestreaming e-commerce (LSE). However, existing research has paid limited attention to this topic. This study investigates the unique interactive advantages of LSE
Hangsheng Yang, Bin Wang
doaj +1 more source
, 2019 The amount of text available for analysis by marketing researchers has grownexponentially in the last two decades. Consumer reviews, message board forums,and social media feeds are just a few sources of data about consumer thought,interaction, and ...
Humphreys, Ashlee
core
Visual Representation of Text in Web Documents and Its Interpretation
, 2004 This paper examines the uses of text and its representation on Web documents in terms of the challenges in its interpretation. Particular attention is paid to the significant problem of non-uniform representation of text.
A. Antonacopoulos +3 more
core +1 more source