Sentiment Analysis of Image with Text Caption using Deep Learning Techniques. [PDF]
Chaubey PK +7 more
europepmc +1 more source
Exploring techniques to distinguish between real images and those generated using stable diffusion XL. [PDF]
Sanders B, Morrison D, Harris-Birtill D.
europepmc +1 more source
Integrating contextual sentiment analysis in collaborative recommender systems. [PDF]
Osman NA +3 more
europepmc +1 more source
Random-Walk Models of Term Semantics: An Application to Opinion-Related Properties
It has recently been proposed that term senses can be automatically ranked by how strongly they possess a given opinion-related property, by applying PageRank, the well known random-walk algorithm lying at the basis of the Google search engine, to a ...
Andrea Esuli, Fabrizio Sebastiani
core
Extraction of use case diagram elements using natural language processing and network science. [PDF]
Imtiaz Malik M +2 more
europepmc +1 more source
An enhanced algorithm for semantic-based feature reduction in spam filtering. [PDF]
Novo-Lourés M +4 more
europepmc +1 more source
Ontology-based annotation and fuzzy recommendation for community formation in smart city knowledge platforms. [PDF]
Hawash A, Bottoni P, Avola D.
europepmc +1 more source
Equivalent sentiment measures for cross-language analysis of corporate communications. [PDF]
Klimczak KM +3 more
europepmc +1 more source
Fuzzy synsets, and lexicon-based sentiment analysis
One of the widely used approaches to Sentiment Analysis (SA) is lexicon-based approach that depends on sentiment-annotated lexical resources (such as SentiWordNet (SWN)).
Josep Lluís De La Rosa I. Esteva +4 more
core
Evaluation of co-speech gestures grounded in word-distributed representation. [PDF]
Sasaki K, Nishikawa J, Morita J.
europepmc +1 more source

