Results 61 to 70 of about 30,779 (289)

A Semi-Supervised Approach to Detecting Stance in Tweets

open access: yes, 2016
Stance classification aims to identify, for a particular issue under discussion, whether the speaker or author of a conversational turn has Pro (Favor) or Con (Against) stance on the issue.
Ecker, Brian   +4 more
core   +1 more source

Communication of Business‐Nonprofit Collaborations and Environmental Legitimacy: Exploratory Insights From Italian Firms

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Collaborations with nonprofits can enhance firms' legitimacy, yet the relationship between their communication and corporate environmental legitimacy remains poorly understood. Furthermore, research lacks an analysis of the communication of business‐nonprofit collaborations through multiple actors' perspectives.
Andrea Rizzuni   +3 more
wiley   +1 more source

Development of an Artificial Intelligence-Based Text Sentiment Analysis System for Evaluating Learning Engagement Levels in STEAM Education

open access: yesApplied Sciences
This study aims to create an AI system that analyzes text to evaluate student engagement in STEAM education. It explores how sentiment analysis can measure emotional, cognitive, and behavioral involvement in learning.
Chih-Hung Wu, Kang-Lin Peng
doaj   +1 more source

Venture Funding: Signals of Environmental Orientation and Their Interplay With Investor‐ and Country‐Level Characteristics

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Environmentally oriented ventures pursue a dual mission: to create both environmental and financial value. This dual mission adds complexity and can influence ventures' funding prospects, as investors mostly pursue financial motivations.
David Flore   +2 more
wiley   +1 more source

Sentiment works in small-cap stocks: Japanese stock’s sentiment with language models

open access: yesInternational Journal of Information Management Data Insights
We calculate sentiment from the Japanese Company Handbook, which contains a compact overview of Japanese companies’ business situation and financial data, using multiple methods, including large language models.
Masahiro Suzuki   +3 more
doaj   +1 more source

Impact of disease information (Ebola and COVID-19) on the pharmaceutical sector in Russia and USA

open access: yesФармакоэкономика, 2021
Objective: identification of the relationship between the news coverage of global diseases and the dynamics of the return on shares of the pharmaceutical sector for Russia and the United States.Material and methods.
E. A. Fedorova   +3 more
doaj   +1 more source

Dictionary Based Amharic Sentiment Lexicon Generation

open access: yes, 2019
This lexicon is automatically generated from English SWN 3.0 by using Amharic-English dictionary. Though it saves time and human effort, it needs more expertise to enhance its quality! Thus, you can use it responsibly about its accuracy and reliability!
Alemneh, Girma Neshir   +2 more
openaire   +1 more source

From Green Governance to Biodiversity Strategy: The Role of Environmentally Experienced Directors in Chinese Firms

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This study investigates how directors with environmental protection (EP) backgrounds influence corporate biodiversity concern (BIO) among Chinese A‐share listed firms from 2008 to 2023. Drawing on Upper Echelons Theory, we argue that directors' environmental expertise shapes firms' biodiversity strategies.
Chengming Huang   +2 more
wiley   +1 more source

Introduction to the special issue on cross-language algorithms and applications [PDF]

open access: yes, 2016
With the increasingly global nature of our everyday interactions, the need for multilingual technologies to support efficient and efective information access and communication cannot be overemphasized. Computational modeling of language has been
Bangalore, Srinivas   +4 more
core   +1 more source

Developing a comprehensive framework for multimodal feature extraction

open access: yes, 2017
Feature extraction is a critical component of many applied data science workflows. In recent years, rapid advances in artificial intelligence and machine learning have led to an explosion of feature extraction tools and services that allow data ...
de la Vega, Alejandro   +2 more
core   +1 more source

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