Results 81 to 90 of about 4,714,839 (322)
Sarcasm Detection in a Disaster Context
During natural disasters, people often use social media platforms such as Twitter to ask for help, to provide information about the disaster situation, or to express contempt about the unfolding event or public policies and guidelines. This contempt is in some cases expressed as sarcasm or irony.
Tiberiu Sosea +2 more
openaire +3 more sources
ABSTRACT The present study examined factors predicting employee participation in employee stock purchase plans (ESPPs). Despite the plausible benefits of ESPPs for participating employees, many employees do not participate in ESPPs even when they are eligible.
Joo Hun Han +4 more
wiley +1 more source
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
Legacy and the Politics of Racial Terminology
ABSTRACT When a term carries a sordid past, it is tempting to think it should have no future use. Yet the normative life of a word is rarely exhausted by its origins. This article develops legacy analysis as a method for enriching evaluation of what should be done with historically burdened terms. Rather than treating origins as decisive, the framework
Paul‐Mikhail Catapang Podosky
wiley +1 more source
Automatic Sarcasm Detection in Twitter Messages [PDF]
In the past decade, social media like Twitter have become popular and a part of everyday life for many people. Opinion mining of the thoughts and opinions they share can be of interest to, e.g., companies and organizations. The sentiment of a text can be
Ræder, Johan Georg Cyrus Mazaher
core +1 more source
Detecting sarcasm in text is a very challenging task. Sarcasm often depends on context, tone, and cultural references, which can be difficult for machines to understand.
Mochamad Alfan Rosid +2 more
doaj +1 more source
Analysis of Emoticon and Sarcasm Effect on Sentiment Analysis of Indonesian Language on Twitter
Background: Indonesia is an active Twitter user that is the largest ranked in the world. Tweets written by Twitter users vary, from tweets containing positive to negative responses. This agreement will be utilized by the parties concerned for evaluation.
Debby Alita, Sigit Priyanta, Nur Rokhman
doaj +1 more source
Disrupting the Chain of Displaced Aggression: A Review and Agenda for Future Research
ABSTRACT Displaced aggression refers to instances in which a person redirects their harm‐doing behavior from a primary to a secondary, substitute target. Since the publication of the first empirical article in 1948, there has been a noticeable surge in research referencing this theory in both management and psychology journals.
Constantin Lagios +4 more
wiley +1 more source
ABSTRACT On its 100th anniversary in 2026, the German Soil Science Society (DBG) is looking back not only on an eventful history with traditions and impressive achievements but also with painful interruptions and ruptures. One curious fact is that the DBG was initially founded as the national section of the International Soil Science Society (ISSS ...
Karl‐Heinz Feger
wiley +1 more source
Sarcasm Detection and User Behaviour Analysis
Sarcasm is a sort of sentiment where public expresses their negative emotions using positive word within the text. It is very tough for humans to acknowledge.
, Pooja Deshmukh, Sarika Solanke
core +1 more source

