Matches in SemOpenAlex for { <https://semopenalex.org/work/W2892285536> ?p ?o ?g. }
Showing items 1 to 59 of
59
with 100 items per page.
- W2892285536 abstract "We present in this work a predictive analytics framework that can computationally identify and categorize opinions expressed in text to discover and analyze attitudes towards a particular topic or product. We provide a new approach based on an ensemble model of three widely used sentiment analysis algorithms: TextBlob, OpinionFinder and Stanford NLP. In this work we investigated the performance of these latter algorithms on large, real datasets. Then, we designed two ensembles (1) one based on multivariate regression that computes a final prediction from three classification algorithms and (2) an ensemble that is based on majority rule. We computed the accuracy of the ensemble framework on labeled real datasets used in the literature that include tweets, as well as Amazon, Yelp and IMDb movie reviews. Our experiments indicated that the ensemble algorithms outperformed all three sentiment algorithms. The ensemble learning algorithm draws from the strengths of the individual sentiment algorithms, avoiding the need to select just one algorithm, creating a stronger tool for harnessing Emotion AI. This approach creates promises beyond the tweets and reviews analyzed here and can potentially be applied to marketing, finance, politics, and beyond." @default.
- W2892285536 created "2018-09-27" @default.
- W2892285536 creator A5022384197 @default.
- W2892285536 creator A5073566369 @default.
- W2892285536 date "2018-08-01" @default.
- W2892285536 modified "2023-09-26" @default.
- W2892285536 title "Emotion Artificial Intelligence Derived from Ensemble Learning" @default.
- W2892285536 cites W1833923049 @default.
- W2892285536 cites W2017238344 @default.
- W2892285536 cites W2067624665 @default.
- W2892285536 cites W2114524997 @default.
- W2892285536 cites W2162102623 @default.
- W2892285536 doi "https://doi.org/10.1109/trustcom/bigdatase.2018.00266" @default.
- W2892285536 hasPublicationYear "2018" @default.
- W2892285536 type Work @default.
- W2892285536 sameAs 2892285536 @default.
- W2892285536 citedByCount "5" @default.
- W2892285536 countsByYear W28922855362019 @default.
- W2892285536 countsByYear W28922855362020 @default.
- W2892285536 countsByYear W28922855362021 @default.
- W2892285536 countsByYear W28922855362023 @default.
- W2892285536 crossrefType "proceedings-article" @default.
- W2892285536 hasAuthorship W2892285536A5022384197 @default.
- W2892285536 hasAuthorship W2892285536A5073566369 @default.
- W2892285536 hasConcept C110083411 @default.
- W2892285536 hasConcept C119857082 @default.
- W2892285536 hasConcept C124101348 @default.
- W2892285536 hasConcept C154945302 @default.
- W2892285536 hasConcept C41008148 @default.
- W2892285536 hasConcept C45942800 @default.
- W2892285536 hasConcept C66402592 @default.
- W2892285536 hasConcept C83209312 @default.
- W2892285536 hasConcept C94124525 @default.
- W2892285536 hasConceptScore W2892285536C110083411 @default.
- W2892285536 hasConceptScore W2892285536C119857082 @default.
- W2892285536 hasConceptScore W2892285536C124101348 @default.
- W2892285536 hasConceptScore W2892285536C154945302 @default.
- W2892285536 hasConceptScore W2892285536C41008148 @default.
- W2892285536 hasConceptScore W2892285536C45942800 @default.
- W2892285536 hasConceptScore W2892285536C66402592 @default.
- W2892285536 hasConceptScore W2892285536C83209312 @default.
- W2892285536 hasConceptScore W2892285536C94124525 @default.
- W2892285536 hasLocation W28922855361 @default.
- W2892285536 hasOpenAccess W2892285536 @default.
- W2892285536 hasPrimaryLocation W28922855361 @default.
- W2892285536 hasRelatedWork W1191482210 @default.
- W2892285536 hasRelatedWork W2523138083 @default.
- W2892285536 hasRelatedWork W2584429674 @default.
- W2892285536 hasRelatedWork W2892285536 @default.
- W2892285536 hasRelatedWork W3120386480 @default.
- W2892285536 hasRelatedWork W3134462278 @default.
- W2892285536 hasRelatedWork W3176795340 @default.
- W2892285536 hasRelatedWork W3198946509 @default.
- W2892285536 hasRelatedWork W3214973351 @default.
- W2892285536 hasRelatedWork W4285741730 @default.
- W2892285536 isParatext "false" @default.
- W2892285536 isRetracted "false" @default.
- W2892285536 magId "2892285536" @default.
- W2892285536 workType "article" @default.