Results 111 to 120 of about 30,779 (289)

Tracing change in the public perception of plants: insights from archives and social media in China

open access: yesPLANTS, PEOPLE, PLANET, EarlyView.
As urbanization accelerates, historic gardens serve as vital cultural treasures that offer spiritual and cultural support to the public. This study proposes an innovative approach that merges historical records from the Qing Dynasty with contemporary social media data to explore changes in public perceptions of these gardens.
Dong Xu   +4 more
wiley   +1 more source

Digitisation as archival intermediary: Quantifying and qualifying Greta B. Stevenson's mycological collector networks

open access: yesPLANTS, PEOPLE, PLANET, EarlyView.
Mass digitisation of natural science collections and archives has increasingly become a priority for scientific heritage institutions. Here, we explore the potential of mass digitisation to improve our understanding of the nature and history of scientific collaboration. Focusing on mycologist Greta B.
Christopher Kreuzer   +2 more
wiley   +1 more source

A Method for Assessing the Risks to Sustainability Posed by Process Operations

open access: yesSustainable Development, EarlyView.
ABSTRACT We present a framework for assessing the risks to sustainability posed by any given set of processes. The objective is to improve sustainability by enabling better decision‐making in policy and business contexts. The framework can be applied to any system of processes where available information supports discovery and quantification of ...
Richard C. Darton, Colin J. Axon
wiley   +1 more source

Sarcasm Detection in Sentiment Analysis Using Recurrent Neural Networks

open access: yesInternational Journal of Distributed Sensor Networks
In recent years, online opinionated textual data volume has surged, necessitating automated analysis to extract valuable insights. Data mining and sentiment analysis have become essential for analysing this type of text.
Maneeha Rani   +6 more
doaj   +1 more source

COMPARATIVE EFFECTIVENESS OF RULE-BASED AND MACHINE LEARNING METHODS IN SENTIMENT ANALYSIS OF KAZAKH LANGUAGE TEXTS

open access: yesScientific Journal of Astana IT University
Sentiment analysis is increasingly pivotal in natural language processing (NLP), crucial for deciphering public opinions across diverse sectors. This research conducts a comparative examination of rule-based and machine learning (ML) methods in sentiment
Mukhtar Amirkumar   +4 more
doaj   +1 more source

Ontologies for Sustainability: Theoretical Challenges

open access: yesSustainable Development, EarlyView.
ABSTRACT The lack of sustainable practices in key sectors of human societies is a global concern, posing threats for the whole planet. This paper provides the first review of ontologies for sustainability efforts, outlining their roles in assessing and advancing such efforts. Section 2 outlines three major challenges associated with sustainability: (1)
Giorgio A. Ubbiali   +2 more
wiley   +1 more source

Fake News are Easier, More Emotional and Less Complex: Some Evidence from Spanish

open access: yesPsychology of Language and Communication
Characterizing false information based on linguistic analysis is important to understand the factors that affect the proliferation of fake news in the media. Previous work has identified some linguistic regularities that suggest a trend towards decreased
Reali Florencia
doaj   +1 more source

A general method for real-time detection of information threats with a Ukraine case study

open access: yesРадіоелектронні і комп'ютерні системи
The subject matter is a general set of methods and system architecture for text analytics, enabling real-time detection and monitoring of information threats, validated through a Ukrainian case study.
Khrystyna Lipianina-Honcharenko   +6 more
doaj   +1 more source

The Nexus Between Circular Economy and Sustainable Supply Chain Management: PRISMA Methodology

open access: yesSustainable Development, EarlyView.
ABSTRACT The intersection of sustainable supply chain management (SSCM) and circular economy (CE) has attracted increasing academic and practical attention, emphasizing the need for integrated sustainability approaches. This study employs the PRISMA protocol and conceptualizes the CE–SSCM relationship as a dynamic system in which internal capabilities,
Feriel Barkaoui, Khaled Ben abdallah
wiley   +1 more source

NUSS: An R package for mixed N-grams and unigram sequence segmentation

open access: yesSoftwareX
NUSS is an R package for segmenting compound text sequences, such as hashtags, using a dual strategy that integrates n-gram segmentation with unigram sequence segmentation.
Oskar Kosch
doaj   +1 more source

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