FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2298127464> ?p ?o ?g. }

• W2298127464 abstract "Twitter is a rich source of data for opinion mining and sentiment analysis that companies can use to improve their strategy with the public and stakeholders. However, extracting and analysing information from unstructured text remains a hard task. The aim of this research is to investigate the use of Twitter by “controversial” companies and other users. In particular, it looks at the nature of positive and negative sentiment towards oil companies and shows how this relates to cultural effects and the network structure. This has required the evaluation of existing automated methods for sentiment analysis and the development of improved methods based on user classification. The research showed that tweets about oil companies were noisy enough to affect the accuracy. In this thesis, we analysed data collected from Twitter and investigated the variance that arises from using an automated sentiment analysis tool versus crowd sourced human classification. Our particular interest lay in understanding how users’ motivation to post messages affected the accuracy of sentiment polarity. The dataset used Tweets originating from two of the world’s leading oil companies, BP America and Saudi Aramco, and other users that follow and mention them, representing Western and Middle Eastern countries respectively. Our results show that the two methods yield significantly different positive, natural and negative classifications depending on culture and the relationship of the poster of the tweet to the two companies. This motivated the investigation of the relationship between sentiment and user groups extracted by applying machine learning classifiers. Finally, clustering based on similarities in the network structure was used to connect user groups, and a novel technique to improve the sentiment accuracy was proposed. The analytical technique used here provided structured and valuable information for oil companies and has applications to other controversial domains." @default.
• W2298127464 created "2016-06-24" @default.
• W2298127464 creator A5075674797 @default.
• W2298127464 date "2015-01-01" @default.
• W2298127464 modified "2023-09-24" @default.
• W2298127464 title "Mining and analysing social network in the oil business : Twitter sentiment analysis and prediction approaches" @default.
• W2298127464 cites W1480259236 @default.
• W2298127464 cites W1521209386 @default.
• W2298127464 cites W1526740443 @default.
• W2298127464 cites W1549229937 @default.
• W2298127464 cites W1555425735 @default.
• W2298127464 cites W1570448133 @default.
• W2298127464 cites W1588021794 @default.
• W2298127464 cites W1596290048 @default.
• W2298127464 cites W1663973292 @default.
• W2298127464 cites W1839863673 @default.
• W2298127464 cites W193524605 @default.
• W2298127464 cites W1967807490 @default.
• W2298127464 cites W1974064490 @default.
• W2298127464 cites W1977561632 @default.
• W2298127464 cites W1981504637 @default.
• W2298127464 cites W1985749074 @default.
• W2298127464 cites W1987381877 @default.
• W2298127464 cites W1989704868 @default.
• W2298127464 cites W1992419399 @default.
• W2298127464 cites W1993110238 @default.
• W2298127464 cites W1994605000 @default.
• W2298127464 cites W1998739300 @default.
• W2298127464 cites W2000159446 @default.
• W2298127464 cites W2004902747 @default.
• W2298127464 cites W2016443085 @default.
• W2298127464 cites W2017165080 @default.
• W2298127464 cites W2017729405 @default.
• W2298127464 cites W2031121958 @default.
• W2298127464 cites W2034562813 @default.
• W2298127464 cites W2037625889 @default.
• W2298127464 cites W2039717455 @default.
• W2298127464 cites W2042703255 @default.
• W2298127464 cites W2045110387 @default.
• W2298127464 cites W2045684923 @default.
• W2298127464 cites W2052871303 @default.
• W2298127464 cites W2053849876 @default.
• W2298127464 cites W2063182638 @default.
• W2298127464 cites W2074390511 @default.
• W2298127464 cites W2084046180 @default.
• W2298127464 cites W2084591134 @default.
• W2298127464 cites W2104400992 @default.
• W2298127464 cites W2105373246 @default.
• W2298127464 cites W2112090702 @default.
• W2298127464 cites W2114524997 @default.
• W2298127464 cites W2118020653 @default.
• W2298127464 cites W2119759918 @default.
• W2298127464 cites W2120400822 @default.
• W2298127464 cites W2121001699 @default.
• W2298127464 cites W2122369144 @default.
• W2298127464 cites W2124499489 @default.
• W2298127464 cites W2127267264 @default.
• W2298127464 cites W2127480961 @default.
• W2298127464 cites W2127492100 @default.
• W2298127464 cites W2133990480 @default.
• W2298127464 cites W2141708418 @default.
• W2298127464 cites W2142889507 @default.
• W2298127464 cites W2144415203 @default.
• W2298127464 cites W2145111356 @default.
• W2298127464 cites W2148603752 @default.
• W2298127464 cites W2151151482 @default.
• W2298127464 cites W2151290425 @default.
• W2298127464 cites W2151451758 @default.
• W2298127464 cites W2152814537 @default.
• W2298127464 cites W2153204928 @default.
• W2298127464 cites W2156249918 @default.
• W2298127464 cites W2159397589 @default.
• W2298127464 cites W2163975393 @default.
• W2298127464 cites W2168625136 @default.
• W2298127464 cites W2169236857 @default.
• W2298127464 cites W2171468534 @default.
• W2298127464 cites W2250489604 @default.
• W2298127464 cites W2329977458 @default.
• W2298127464 cites W2469990527 @default.
• W2298127464 cites W2612166593 @default.
• W2298127464 cites W28087073 @default.
• W2298127464 cites W2912889105 @default.
• W2298127464 cites W3008350594 @default.
• W2298127464 cites W3146306708 @default.
• W2298127464 cites W46659105 @default.
• W2298127464 cites W72397345 @default.
• W2298127464 cites W750822378 @default.
• W2298127464 cites W97914200 @default.
• W2298127464 cites W1853031019 @default.
• W2298127464 hasPublicationYear "2015" @default.
• W2298127464 type Work @default.
• W2298127464 sameAs 2298127464 @default.
• W2298127464 citedByCount "2" @default.
• W2298127464 countsByYear W22981274642019 @default.
• W2298127464 countsByYear W22981274642021 @default.
• W2298127464 crossrefType "dissertation" @default.
• W2298127464 hasAuthorship W2298127464A5075674797 @default.
• W2298127464 hasConcept C114713312 @default.
• W2298127464 hasConcept C121955636 @default.
• W2298127464 hasConcept C127413603 @default.

• next