Results 81 to 90 of about 30,779 (289)
Polarity Consistency Checking for Domain Independent Sentiment Dictionaries [PDF]
Polarity classification of words is important for applications such as Opinion Mining and Sentiment Analysis. A number of sentiment word/sense dictionaries have been manually or (semi)automatically constructed. We notice that these sentiment dictionaries have numerous inaccuracies.
Eduard C. Dragut +4 more
openaire +1 more source
ABSTRACT This study examines the use of environmental disclosure as a strategic tool to manage legitimacy crises in a mining company, adopting critical discourse analysis (CDA) as the main methodology. Focusing on a case of environmental disaster, this research reveals how corporate narratives can be manipulated to minimize responsibility and reinforce
Renata Luiza de Castilho Rossoni +1 more
wiley +1 more source
Development of Context-Based Sentiment Classification for Intelligent Stock Market Prediction
This paper presents a novel approach to sentiment analysis specifically customized for predicting stock market movements, bypassing the need for external dictionaries that are often unavailable for many languages.
Nurmaganbet Smatov +2 more
doaj +1 more source
ABSTRACT The study examines how narrative disclosure tones (NDTs) and corporate governance mechanisms (CGMs) affect sustainability reporting practices (SRP) in an emerging economy. Data from 125 non‐financial firms in Pakistan, spanning 2011–2022, are utilized. SRP is measured using both GRI and the novel IFRS S1 standards‐based indices. Three NDTs are
Arshad Hasan +2 more
wiley +1 more source
Tracking Climate and Environmental Attention: A News‐Based Composite Index
ABSTRACT This study introduces the Climate and Environmental Attention Index, a composite indicator that tracks media attention to climate and environmental issues. Based on the Semantic Brand Score, the proposed index extracts significant signals from unstructured text, going beyond traditional measures of word frequency and sentiment.
Gianna Figà‐Talamanca +3 more
wiley +1 more source
RICH SEMANTIC SENTIMENT ANALYSIS USING LEXICON BASED APPROACH
Web is a huge repository of information, and a massive amount of data is generated everyday on online platforms. Information, can be facts and opinions, facts are objective statements about an event, and opinions are subjective statements that reflect ...
Hedayatullah Lodin, Prem Balani
doaj +1 more source
Abstract This contribution critically analyses the main international educational frameworks for teachers' digital competence, highlighting both critical issues and potential in relation to their professional development and the need to update school curricula.
Daniela Marzano +3 more
wiley +1 more source
Reclaimed Homophobic Hate Speech Backfires: Desensitization and Mood Deterioration
ABSTRACT Reclaimed hate speech is generally seen as a positive phenomenon by minority groups and, to some degree, by majority groups. However, previous research has not examined whether it might produce harmful effects similar to traditional hate speech.
Dominik Puchała +2 more
wiley +1 more source
What makes stocks sensitive to investor sentiment: An analysis based on Google Trends
We capture Google’s vast search volume through Google Trends to generate a weekly investor sentiment index (2018–2022) using the most popular keywords (extracted from Google Search) from a keywords collection of 92,000+ words found in business, finance ...
Qureshi Adeel Ali
doaj +1 more source
Variable Convolution and Pooling Convolutional Neural Network for Text Sentiment Classification
With the popularity of the internet, the expression of emotions and methods of communication are becoming increasingly abundant, and most of these emotions are transmitted in text form. Text sentiment classification research mainly includes three methods
Min Dong +5 more
doaj +1 more source

