Results 111 to 120 of about 142,696 (248)

Demand Estimation with Text and Image Data

The RAND Journal of Economics, EarlyView.
ABSTRACT We propose a demand estimation approach that leverages unstructured data to infer substitution patterns. Using pre‐trained deep learning models, we extract embeddings from product images and textual descriptions and incorporate them into a mixed logit demand model.
Giovanni Compiani, Ilya Morozov, Stephan Seiler   +2 more
wiley   +1 more source

Top-ten tf-idf terms for bibliographic coupling in gastroenterology.

Top-ten tf-idf terms for bibliographic coupling in gastroenterology.
Steffen Blaschke (18404206)
core   +1 more source

IMPLEMENTASI EKSTRAKSI FITUR PADA PENGOLAHAN DOKUMEN BERBAHASA INDONESIA

Matrix: Jurnal Manajemen Teknologi dan Informatika, 2016
Ekstraksi fitur merupakan proses untuk mencari nilai-nilai fitur yang terkandung dalam dokumen untuk proses text mining. Ekstraksi fitur menjadi bagian yang sangat penting dalam pengolahan dokumen pada mesin pencari karena sangat menentukan keberhasilan ...
Putu Manik Prihatini
doaj  

A gene pathway enrichment method based on improved TF-IDF algorithm. [PDF]

Biochem Biophys Rep, 2023
Xu S, Leng Y, Feng G, Zhang C, Chen M.
europepmc   +1 more source

Lost in the Language: Data Breaches and the Strategic Fog of Risk Disclosures

Accounting &Finance, EarlyView.
ABSTRACT This study examines whether firms strategically adjust the readability of Item 1A (“Risk Factors”) disclosures following data breaches. Using U.S. firm‐year observations from 2006 to 2023, we find that data breaches are associated with a significant decline in Item 1A readability.
Ling Tuo, Shipeng Han
wiley   +1 more source

Machine Learning-Based Hate Speech Detection in the Kazakh Language

Research in Language
Modern text data processing and classification methods require extensive use of machine learning and neural networks. Categorizing text into different classes has become a crucial task in many fields.
Milana Bolatbek, Shynar Mussiraliyeva, Moldir Sagynay   +2 more
doaj   +1 more source

Evaluating Creative Output With Generative Artificial Intelligence: Comparing GPT Models and Human Experts in Idea Evaluation

Creativity and Innovation Management, Volume 34, Issue 4, Page 991-1012, December 2025.
ABSTRACT Traditional techniques for evaluating creative outcomes are typically based on evaluations made by human experts. These methods suffer from challenges such as subjectivity, biases, limited availability, ‘crowding’, and high transaction costs. We propose that large language models (LLMs) can be used to overcome these shortcomings.
Theresa Kranzle, Katelyn Sharratt
wiley   +1 more source

Top-ten tf-idf terms for bibliographic coupling in accounting.

Top-ten tf-idf terms for bibliographic coupling in accounting.
Steffen Blaschke (18404206)
core   +1 more source

Indoor Scene Recognition via Object Detection and TF-IDF. [PDF]

J Imaging, 2022
Heikel E, Espinosa-Leal L.
europepmc   +1 more source

Success and failure in England's patent system: New evidence from patent applications, 1783–1834

The Economic History Review, EarlyView.
Abstract Our understanding of the relationship between the English patent system and technical change during the industrial revolution is based entirely on the study of successful patents. We address this feature by providing the first study of unsuccessful patent applications in England during the first industrial revolution.
Stephen D. Billington, Joe Lane
wiley   +1 more source