Results 81 to 90 of about 136,207 (260)

Revisiting the Intellectual Legacy of H. Igor Ansoff: A Critical Analysis of His Contributions and Their Impact on the Evolution of Strategic Management

Strategic Change, EarlyView.
ABSTRACT This systematic review examines how H. Igor Ansoff's theoretical contributions have evolved in contemporary strategic management through cluster analysis of 116 publications (1968–2024). Four distinct research clusters were identified, revealing that Ansoff's legacy has shifted from theoretical foundations to pedagogical applications and ...
Adiemir Hortega, Daniela Menezes, Fernando Antonio Ribeiro Serra, Maling Ebrahimpour, Benny Kramer   +4 more
wiley   +1 more source

Sensory and chemical profiles of bread derived from the novel semi‐ and wholegrain flour enrichment of Triticum aestivum L. old genotypes with organic stinging nettle

JSFA reports, Volume 5, Issue 3, Page 104-112, March 2025.
Abstract Background Bread made from refined Triticum aestivum L. flour, a staple food in large parts of the world, is considered a nutrient security risk. Strategies used to enhance the nutritional and functional properties of wheat‐derived food products include the use of semi‐ or wholegrain flour, old genotypes, and enrichment through fortification ...
Ilaria Marotti, Elettra Frassineti, Mattia Alpi, Giovanni Dinelli   +3 more
wiley   +1 more source

The Contextual Autonomy Principle: When and Why Social Service Robots Are Perceived as Ethical

Psychology &Marketing, EarlyView.
ABSTRACT As social service robots move into both public and private settings, perceived ethicality becomes a key condition of adoption. We propose that the same robotic capability can acquire different ethical meanings depending on context, governance form, and social presence. Across three studies, we show that restaurant (vs.
Lars Meyer‐Waarden, Julien Cloarec
wiley   +1 more source

Peringkasan Sentimen Esktraktif di Twitter Menggunakan Hybrid TF-IDF dan Cosine Similarity

IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2016
The using of Twitter by selebrities has become a new trend of impression management strategy. Mining public reaction in social media is a good strategy to obtain feedbacks, but extracting it are not trivial matter. Reads hundred of tweets while determine
Devid Haryalesmana Wahid, Azhari SN
doaj   +1 more source

Advanced Deep Learning and Hybrid Architectures in Biomedical Data Analysis for Advances in Medicine

Medicine Advances, EarlyView.
This review summarizes AI methods for biomedical imaging and clinical data analysis. Deep learning and multimodal models improve feature learning and diagnostic accuracy. Future progress requires explainable and generalizable AI for precision medicine.
Lifeng Li, Ashfaque Khowaja, Yucheng Song, Mingwei Zhang, Shabir Hussain   +4 more
wiley   +1 more source

TF-IDF Based Classification of Uzbek Educational Texts

Applied Sciences
This paper presents an approach to automatic Uzbek text classification. Uzbek language is a morphologically rich and low-resource language. The approach integrates Term Frequency–Inverse Document Frequency (TF-IDF) representation with conventional machine learning and similarity-based approaches.
Khabibulla Madatov, Sapura Sattarova, Jernej Vičič   +2 more
openaire   +1 more source

Distribution of tf-idf scores for YouTube comments.

, 2014
Each panel shows the distribution of tf-idf scores for YouTube comments stratified by the plateaus defined in [25]. The dotted line shows the threshold beyond which the tf-idf score indicates that the word indicates a specific plateau.
Nicholas Genes (522243), Alex F. Manini (522242), Emily H. Park (522239), Julia Sun (522241), Andrew McKenzie (522240), Michael Chary (522238)   +5 more
core   +1 more source

Designing for biodiversity data in place: Species, encounters, and interfaces

People and Nature, EarlyView.
Abstract Species occurrence data, which records the presence of an organism at a point in space and time, is central to environmental science and its opening up to new forms of participation such as citizen science. Such data are increasingly aggregated and mobilised, reaching diverse audiences.
Mitchell Whitelaw, Adrian Mackenzie, Martin Westgate, Kylie Morrow   +3 more
wiley   +1 more source

Performance of TF-IDF for Text Classification Reviews on Google Play Store: Shopee

Journal of Computing Research and Innovation
TF-IDF is a technique used to extract features in the field of text classification. The TF-IDF approach extracts feature by considering the frequencies of terms and their inverse document frequencies.
Najwa Umaira Che Mohd Safawi, Nur Amalina Shafie   +1 more
doaj   +3 more sources

Development of extraction features for Detecting Adolescent Personality with Machine Learning Algorithms

JOIV: International Journal on Informatics Visualization
This study aims to develop a Natural Language Processing (NLP)-based feature extraction algorithm optimized for personality type classification in adolescents.
Irzal Arief Wisky, Sarjon Defit, Gunadi Widi Nurcahyo   +2 more
doaj   +1 more source