Results 171 to 180 of about 11,087 (240)

Trends and Challenges of Sustainable Rural Tourism in the Face of Artificial Intelligence: A Bibliometric Analysis

Sustainable Development, EarlyView.
ABSTRACT This study explores the development of sustainable rural tourism through a multidisciplinary approach, integrating economic, technological, and environmental perspectives. It aims to analyze research trends, key contributors, and the role of artificial intelligence (AI) in shaping the future of rural tourism.
Ana M. Sánchez‐Sánchez, David Ruiz‐Muñoz, Francisca J. Sánchez‐Sánchez   +2 more
wiley   +1 more source

The Shrinking Horizons of Computational Linguistics

Computational Linguistics, 2021
Ehud Reiter
doaj   +1 more source

Towards Computational Linguistics in Minangkabau Language: Studies on Sentiment Analysis and Machine Translation

, 2020
Fajri Koto, Ikhwan Koto
openalex   +2 more sources

Natural Language Processing: Between Theoretical and Computational Linguistics

, 2022

openalex   +2 more sources

Uncovering Semantic Patterns in Sustainability Research: A Systematic NLP Review

Sustainable Development, EarlyView.
ABSTRACT This study maps how Natural Language Processing (NLP) contributes to sustainability. Using a PRISMA‐guided review of 131 English‐language articles from Web of Science (2018–2025), we combine bibliometric co‐word mapping with BERTopic to derive complementary structural and semantic views. Four themes emerge: Topic 0—Climate Change Discourse and
Ehsan Tashakori, Yaser Sobhanifard, Adel Aazami, Rahim Khanizad   +3 more
wiley   +1 more source

Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop

, 2015

openalex   +1 more source

Integrating multimodal data and machine learning for entrepreneurship research

Strategic Entrepreneurship Journal, EarlyView.
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley   +1 more source

MODERN AREAS OF COMPUTATIONAL LINGUISTICS

, 2016
Kamila Valiyeva
openalex   +1 more source

Mobilizing the silent majority: Discourse broadening and audience support for entrepreneurial innovations

Strategic Management Journal, EarlyView.
Abstract Research Summary Entrepreneurs operating in a public interactional domain face a unique communicative challenge: they must leverage conversations with a small subset of vocal discursive partners to mobilize support from a broader base of silent audiences observing these exchanges.
Jamie Seoyeon Song
wiley   +1 more source

Performing Stance Detection on Twitter Data using Computational Linguistics Techniques

, 2017
Gourav Ganesh Shenoy, Erika Helda Dsouza, Sandra Kübler   +2 more
openalex   +2 more sources