Results 81 to 90 of about 142,696 (248)
Alternative Data for Realised Volatility Forecasting: Limit Order Book and News Stories
ABSTRACT We examine whether two major alternative data sources, limit order book information and firm‐specific news, provide incremental predictive information for daily realised volatility forecasting within the HAR‐family, using a parsimonious framework to ensure practical implementation and comparability. The framework is designed for practical real‐
Eghbal Rahimikia, Ser‐Huang Poon
wiley +1 more source
Penerapan Metode TF-IDF Dalam Sistem Informasi Digital Marketing Pada UMKM Bismillah Outlet Hijab
Pemanfaatan digital marketing menjadi kebutuhan penting bagi UMKM untuk meningkatkan efektivitas promosi dan memperluas jangkauan pasar. Namun, UMKM Bismillah Outlet Hijab masih menghadapi kendala dalam pengelolaan data produk serta penentuan kata kunci
Rani Ramadhani, Suendri Suendri
doaj +1 more source
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
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
TF-IDF Based Classification of Uzbek Educational Texts
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 +2 more
openaire +1 more source
Designing for biodiversity data in place: Species, encounters, and interfaces
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 +3 more
wiley +1 more source
Peringkasan Sentimen Esktraktif di Twitter Menggunakan Hybrid TF-IDF dan Cosine Similarity
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
A New Social Life Cycle Assessment Framework: An AI‐Driven Optimization Approach and Application
ABSTRACT Social life cycle assessment (SLCA) has increasingly been acknowledged as a tool for assessing the societal impacts of services and products. However, the fragmented nature of current approaches makes it difficult to compare this concept and its practical applications.
Flavio Vassallo Mattos +3 more
wiley +1 more source
The learning curve for SVC trained on individual tweet-level TF-IDF modeling.
The learning curve for SVC trained on individual tweet-level TF-IDF modeling.
Rexhep Shijaku (17457902) +1 more
core +1 more source
ABSTRACT The integration of Environmental, Social and Governance (ESG) criteria into sustainable development exposes critical limitations in traditional cost modelling for Asset Lifecycle Management. Through a systematic review of 64 studies (2016–2025), this research identifies gaps including the compartmentalisation of ESG factors, methodological ...
Ziru Tao +4 more
wiley +1 more source

