Matches in SemOpenAlex for { <https://semopenalex.org/work/W3167991780> ?p ?o ?g. }
Showing items 1 to 99 of
99
with 100 items per page.
- W3167991780 abstract "The Moral Foundation Theory suggests five moral foundations that can capture the view of a user on a particular issue. It is widely used to identify sentence-level sentiment. In this paper, we study the Moral Foundation Theory in tweets by US politicians on two politically divisive issues - Gun Control and Immigration. We define the nuanced stance of politicians on these two topics by the grades given by related organizations to the politicians. First, we identify moral foundations in tweets from a huge corpus using deep relational learning. Then, qualitative and quantitative evaluations using the corpus show that there is a strong correlation between the moral foundation usage and the politicians’ nuanced stance on a particular topic. We also found substantial differences in moral foundation usage by different political parties when they address different entities. All of these results indicate the need for more intense research in this area." @default.
- W3167991780 created "2021-06-22" @default.
- W3167991780 creator A5022970868 @default.
- W3167991780 creator A5032121234 @default.
- W3167991780 date "2021-01-01" @default.
- W3167991780 modified "2023-10-18" @default.
- W3167991780 title "Analysis of Nuanced Stances and Sentiment Towards Entities of US Politicians through the Lens of Moral Foundation Theory" @default.
- W3167991780 cites W1555168845 @default.
- W3167991780 cites W1593045043 @default.
- W3167991780 cites W1995112597 @default.
- W3167991780 cites W2064675550 @default.
- W3167991780 cites W2117401803 @default.
- W3167991780 cites W2119432837 @default.
- W3167991780 cites W2123791568 @default.
- W3167991780 cites W2250539671 @default.
- W3167991780 cites W2251739304 @default.
- W3167991780 cites W2305594859 @default.
- W3167991780 cites W2434649295 @default.
- W3167991780 cites W2538660910 @default.
- W3167991780 cites W2566963797 @default.
- W3167991780 cites W2572163506 @default.
- W3167991780 cites W2609722168 @default.
- W3167991780 cites W2656044294 @default.
- W3167991780 cites W2740751204 @default.
- W3167991780 cites W2793925761 @default.
- W3167991780 cites W2798751230 @default.
- W3167991780 cites W2803484323 @default.
- W3167991780 cites W2949442273 @default.
- W3167991780 cites W2963119657 @default.
- W3167991780 cites W2963341956 @default.
- W3167991780 cites W2963834345 @default.
- W3167991780 cites W2964070188 @default.
- W3167991780 cites W2970170773 @default.
- W3167991780 cites W2971225582 @default.
- W3167991780 cites W3008655042 @default.
- W3167991780 cites W3094269534 @default.
- W3167991780 cites W3103670089 @default.
- W3167991780 cites W3133930110 @default.
- W3167991780 cites W3155935844 @default.
- W3167991780 cites W560287614 @default.
- W3167991780 cites W582883670 @default.
- W3167991780 cites W3125923573 @default.
- W3167991780 doi "https://doi.org/10.18653/v1/2021.socialnlp-1.1" @default.
- W3167991780 hasPublicationYear "2021" @default.
- W3167991780 type Work @default.
- W3167991780 sameAs 3167991780 @default.
- W3167991780 citedByCount "6" @default.
- W3167991780 countsByYear W31679917802021 @default.
- W3167991780 countsByYear W31679917802022 @default.
- W3167991780 countsByYear W31679917802023 @default.
- W3167991780 crossrefType "proceedings-article" @default.
- W3167991780 hasAuthorship W3167991780A5022970868 @default.
- W3167991780 hasAuthorship W3167991780A5032121234 @default.
- W3167991780 hasBestOaLocation W31679917801 @default.
- W3167991780 hasConcept C111472728 @default.
- W3167991780 hasConcept C127413603 @default.
- W3167991780 hasConcept C138885662 @default.
- W3167991780 hasConcept C144024400 @default.
- W3167991780 hasConcept C15336307 @default.
- W3167991780 hasConcept C154945302 @default.
- W3167991780 hasConcept C17744445 @default.
- W3167991780 hasConcept C199539241 @default.
- W3167991780 hasConcept C2777530160 @default.
- W3167991780 hasConcept C2780966255 @default.
- W3167991780 hasConcept C41008148 @default.
- W3167991780 hasConcept C43091099 @default.
- W3167991780 hasConcept C78762247 @default.
- W3167991780 hasConcept C94625758 @default.
- W3167991780 hasConceptScore W3167991780C111472728 @default.
- W3167991780 hasConceptScore W3167991780C127413603 @default.
- W3167991780 hasConceptScore W3167991780C138885662 @default.
- W3167991780 hasConceptScore W3167991780C144024400 @default.
- W3167991780 hasConceptScore W3167991780C15336307 @default.
- W3167991780 hasConceptScore W3167991780C154945302 @default.
- W3167991780 hasConceptScore W3167991780C17744445 @default.
- W3167991780 hasConceptScore W3167991780C199539241 @default.
- W3167991780 hasConceptScore W3167991780C2777530160 @default.
- W3167991780 hasConceptScore W3167991780C2780966255 @default.
- W3167991780 hasConceptScore W3167991780C41008148 @default.
- W3167991780 hasConceptScore W3167991780C43091099 @default.
- W3167991780 hasConceptScore W3167991780C78762247 @default.
- W3167991780 hasConceptScore W3167991780C94625758 @default.
- W3167991780 hasLocation W31679917801 @default.
- W3167991780 hasOpenAccess W3167991780 @default.
- W3167991780 hasPrimaryLocation W31679917801 @default.
- W3167991780 hasRelatedWork W2035483685 @default.
- W3167991780 hasRelatedWork W2220552745 @default.
- W3167991780 hasRelatedWork W2332779545 @default.
- W3167991780 hasRelatedWork W2358060160 @default.
- W3167991780 hasRelatedWork W2381393187 @default.
- W3167991780 hasRelatedWork W2501983714 @default.
- W3167991780 hasRelatedWork W2777605427 @default.
- W3167991780 hasRelatedWork W2790569960 @default.
- W3167991780 hasRelatedWork W2793937822 @default.
- W3167991780 hasRelatedWork W596947562 @default.
- W3167991780 isParatext "false" @default.
- W3167991780 isRetracted "false" @default.
- W3167991780 magId "3167991780" @default.
- W3167991780 workType "article" @default.