Results 61 to 70 of about 8,324 (219)

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

open access: yesStrategic 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   +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

open access: yesJSFA 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   +3 more
wiley   +1 more source

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

open access: yesIJCCS (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

Assessing ChatGPT for taxonomic and floristic studies

open access: yesNordic Journal of Botany, EarlyView.
The advancement of biological sciences has long been closely linked to technological progress. ChatGPT, a generative artificial intelligence chatbot capable of producing human‐like conversational responses, has recently attracted attention as a potential support tool for scientific research.
Mykyta Peregrym   +7 more
wiley   +1 more source

Baselining Large Language Model Performance in Systems Engineering Using SysEngBench

open access: yesSystems Engineering, EarlyView.
ABSTRACT In the rapidly evolving field of artificial intelligence (AI), large language model s (LLMs) have demonstrated impressive capabilities in generating natural language. However, their proficiency in specialized domains, particularly in the field of systems engineering (SE), remains less explored and unquantified.
Ryan Bell   +3 more
wiley   +1 more source

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

open access: yesJournal 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   +1 more
doaj   +3 more sources

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

open access: yesJOIV: 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   +2 more
doaj   +1 more source

A Country That Never Sleeps? A Web Scrapping Analysis of the 24‐h Economy Policy in Ghana

open access: yesThunderbird International Business Review, EarlyView.
ABSTRACT In light of revitalizing Ghana's economic landscape through sustainable job creation underpinned by 24‐h operations across all key sectors, the National Democratic Congress proposed the ‘24‐h economy’ policy proposal. This study employs the web‐scraping technique through text mining and python codes to analyse 1820 comments from Facebook, X ...
Pius Gamette   +3 more
wiley   +1 more source

Semantic-Enhanced News Clustering Using TF-IDF and WordNet with K-Means

open access: yesJournal of Information Systems and Informatics
Text clustering of news articles falls under unsupervised learning, where models operate on unlabeled data unless partially annotated. K-Means Clustering remains one of the most commonly applied algorithms due to its efficiency and simplicity. Likewise,
Mohammad Yusuf Hidayat   +2 more
doaj   +1 more source

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