PageRanking WordNet Synsets: an application to opinion mining
, 2007 This paper presents an application of PageRank, a random-walk model originally devised for ranking Web search results, to ranking WordNet synsets in terms of how strongly they possess a given semantic property. The semantic properties we use for exemplifying the approach are positivity and negativity, two properties of central importance in sentiment ...
Esuli A, Sebastiani F
openaire +2 more sources
Text Mining and Determinants of Sentiments towards the COVID-19 Vaccine Booster of Twitter Users in Malaysia. [PDF]
Healthcare (Basel), 2022 Ong SQ, Pauzi MBM, Gan KH.
europepmc +1 more source
Assigning Polarity Automatically to the Synsets of a Wordnet-like Resource.
, 2014 This article describes work towards the automatic creation of a conceptual polarity lexicon for Portuguese. For this purpose, we take advantage of a polarity lexicon based on single lemmas to assign polarities to the synsets of a wordnet-like resource.
Hugo Gonçalo Oliveira +2 more
openaire +3 more sources
, 2016 Mapping between named entities types, SUMO catagories and plWordNet ...
Oleksy, Marcin, Wieczorek, Jan
core
Random-walk models of term semantics: an application to opinion-related properties
, 2007 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 ...
Sebastiani F, Esuli A
core +1 more source
Verb Frequency and Density Drive Naming Performance in Primary Progressive Aphasia. [PDF]
Aphasiology, 2023 Stockbridge MD +4 more
europepmc +1 more source
Exploring techniques to distinguish between real images and those generated using stable diffusion XL. [PDF]
PLoS OneSanders B, Morrison D, Harris-Birtill D.
europepmc +1 more source
Extraction of use case diagram elements using natural language processing and network science. [PDF]
PLoS One, 2023 Imtiaz Malik M +2 more
europepmc +1 more source
Random-Walk Models of Term Semantics: An Application to Opinion-Related Properties
, 2008 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
Integrating contextual sentiment analysis in collaborative recommender systems. [PDF]
PLoS One, 2021 Osman NA +3 more
europepmc +1 more source