Results 31 to 40 of about 926,604 (274)
The difference in positivity of the Russian and English lexicon: The big data approach
Psychological cross-cultural studies have long noted differences in the degree of cognition positivity, or optimism, in various cultures. Herewith, the question whether the difference shows up at the level of the language lexicon remains unexplored ...
Valery D. Solovyev, Anna I. Ivleva
doaj +1 more source
The way Ernst Cassirer understands Jean-Jacques Rousseau at the beginning of the 1930’s is interesting, in so far as it puts forward different mechanisms of interpretation, which Cassirer is not always conscious of.
Laetitia Simonetta
doaj +1 more source
Diving Deep into Sentiment: Understanding Fine-tuned CNNs for Visual Sentiment Prediction [PDF]
Visual media are powerful means of expressing emotions and sentiments. The constant generation of new content in social networks highlights the need of automated visual sentiment analysis tools. While Convolutional Neural Networks (CNNs) have established
Jiang Y.-G. +6 more
core +2 more sources
Commerce and Sentiment in Tales of Barbary Encounter: Cathcart, Barlow, Markoe, Tyler, and Rowson
A number of American sailors were taken hostage by Barbary Corsairs and held as slaves in North Africa in the years following the Revolutionary War. The crisis would ultimately lead to open warfare, but many Americans were optimistic that international ...
Andrew S. Gross
doaj +1 more source
Constitutional Sentiments [PDF]
The principal claim of the essay is that sentiments and assumptions about senti-ments– have an important role in setting up constitutional designs and interpretation (“evolvingstandards of decency”);– constitutional arrangements do have impacts on social emotions;– the disregard of the interrelation of emotions and other forms of cognition ...
openaire +2 more sources
Controlling impression: Making ruGPT3 generate sentiment-driven movie reviews
In this research paper, I investigate the controlled text generation capabilities of ruGPT3Large through fine-tuning, specifically focusing on generating movie reviews based on a designated sentiment attribute.
Анастасия Валерьевна Марголина
doaj +1 more source
SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction
In online social networks people often express attitudes towards others, which forms massive sentiment links among users. Predicting the sign of sentiment links is a fundamental task in many areas such as personal advertising and public opinion analysis.
Guo, Minyi +5 more
core +1 more source
We introduce Sentimentator; a publicly available gamified web-based annotation platform for fine-grained sentiment annotation at the sentence-level. Sentimentator is unique in that it moves beyond binary classification. We use a ten-dimensional model which allows for the annotation of 51 unique sentiments and emotions. The platform is gamified with a
Emily Öhman, Kaisla Kajava
openaire +3 more sources
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source
Topic modeling, which uses machine learning algorithms to identify the emergence of topics, can help public health professionals monitor online public responses during health crises.
Yi (Jasmine) Wang +2 more
doaj +1 more source

