Analysis of Nuanced Stances and Sentiment Towards Entities of US ...

Stance detection in Arabic with a multi-dialectal cross-domain ...

... entities regarding specific topics or issues. While sentiment analysis primarily aims to detect the emotional tone of a text, stance ...

Beyond sentiment: an algorithmic strategy for identifying evaluations ...

In this article, we propose a shift in the classification of evaluative texts, to enable a more nuanced and comprehensive analysis of object- ...

Automatic assignment of moral foundations to movies by word ...

Roy, Analysis of nuanced stances and sentiment towards entities of US politicians through the lens of moral foundation theory, с. 1; van den Broek-Altenburg ...

Computer-Assisted Understanding of Stance in Social Media

Moreover, we propose a novel process of collecting data to study the formalization stance on nuanced targets. ... Sentiment Word Vectors Towards Sentiment ...

Brand Sentiment Analysis 2024: The Ultimate Guide - Survicate

It involves several AI tasks like named entity recognition and part-of-speech tagging to break down and analyze text, allowing for more nuanced ...

Sentiment analysis of global news on environmental issues - Frontiers

... nuanced sentiment scores ranging from strongly negative to strongly positive. ... This refined analysis allows us to delve deeper into the intersection of ...

Is Cancel Culture Effective? How Public Shaming Has Changed

You don't even have to have the power to change all of public sentiment. ... nuanced discussion and encourages all-or-nothing stances. Cancel culture is ...

Identifying stance in legislative discourse: a corpus-driven study of ...

... us to gain a more objective understanding of the theme and object under study. ... to the sentiment analysis problem at the sentence level. Knowl ...

STEM: Unsupervised STructural EMbedding for Stance Detection

Stance detection differs from sentiment analysis in its opaqueness. A favorable stance toward a target opinion or an entity E can be expressed using a negative ...

Weakly Supervised Learning of Nuanced Frames for Analyzing ...

Analysis of Nuanced Stances and Sentiment Towards Entities of US Politicians through the Lens of Moral Foundation Theory. Shamik Roy, Dan Goldwasser. 2021 ...

Moral Values in Social Media for Disinformation and Hate Speech ...

Roy, S., Goldwasser, D.: Analysis of nuanced stances and sentiment towards entities of us politicians through the lens of moral foundation theory. In ...

Unmasking Malicious Stance Indicators and Attitudinal Priming

The approach to identity in this study factors in dimensions such as the author's stances towards people, entities, opinions, behaviours, ...

Towards Social Context Grounding of Political Texts - OpenReview

used to signal more nuanced stances across sev-. 034 eral events. The ... entity-sentiment to showcase a unique summary. 139 of the event discourse ...

Social Science Research: Principles, Methods, and Practices

Analysis tends to be qualitative in nature, but heavily contextualized and nuanced ... A simple type of content analysis is sentiment analysis – a technique used ...

A Pretrained Language Model and Network Analysis of Soci - medRxiv

... nuanced differentiation of drug entities ... The TSA module aims to quantify user's sentiment toward specific drug entities within tweets.

A Discourse Analysis of How Period and Fertility Tracking App ...

After the overturn of Roe v. Wade gave states the license to ban abortion, numerous people in US have grown to worry about privacy in using ...

BlackRock's proxy votes reveal a nuanced stance

Political leaders are also pushing back against the anti-ESG sentiment. ... Get access to the news, research and analysis of events ...

Political Rhetoric and the Media - Project MUSE

Abrams Press. Roy, S., & Goldwasser, D. (2021). Analysis of nuanced stances and sentiment towards entities of US politicians through the lens of ...

An augmented multilingual Twitter dataset for studying the COVID ...

... analyses thanks to the Sentiment and Name Entity Recognition algorithms implemented to augment it. ... to identify issues and stances toward ...

Text Annotation Services - Outforz

Sentiment Analysis analyzes and classifies opinions, emotions, and attitudes expressed in text to highlight stances toward a particular topic, idea, or ...