Matches in SemOpenAlex for { <https://semopenalex.org/work/W2334239751> ?p ?o ?g. }
Showing items 1 to 99 of
99
with 100 items per page.
- W2334239751 endingPage "e81" @default.
- W2334239751 startingPage "e81" @default.
- W2334239751 abstract "Due to the rapid development of information technology, the Internet has gradually become a part of everyday life. People would like to communicate with friends to share their opinions on social networks. The diverse behavior on socials networks is an ideal reflection of users’ personality traits. Existing behavior analysis methods for personality prediction mostly extract behavior attributes with heuristic analysis. Although they work fairly well, they are hard to extend and maintain. In this paper, we utilize a deep learning algorithm to build a feature learning model for personality prediction, which could perform an unsupervised extraction of the Linguistic Representation Feature Vector (LRFV) activity without supervision from text actively published on the Sina microblog. Compared with other feature extractsion methods, LRFV, as an abstract representation of microblog content, could describe a user’s semantic information more objectively and comprehensively. In the experiments, the personality prediction model is built using a linear regression algorithm, and different attributes obtained through different feature extraction methods are taken as input of the prediction model, respectively. The results show that LRFV performs better in microblog behavior descriptions, and improves the performance of the personality prediction model." @default.
- W2334239751 created "2016-06-24" @default.
- W2334239751 creator A5041096560 @default.
- W2334239751 creator A5044268573 @default.
- W2334239751 date "2016-09-19" @default.
- W2334239751 modified "2023-10-12" @default.
- W2334239751 title "Deep learning for constructing microblog behavior representation to identify social media user’s personality" @default.
- W2334239751 cites W1972871001 @default.
- W2334239751 cites W2012610990 @default.
- W2334239751 cites W2015630220 @default.
- W2334239751 cites W2030290173 @default.
- W2334239751 cites W2067460630 @default.
- W2334239751 cites W2078455576 @default.
- W2334239751 cites W2113166392 @default.
- W2334239751 cites W2140910804 @default.
- W2334239751 cites W2163922914 @default.
- W2334239751 cites W2166154125 @default.
- W2334239751 cites W37481676 @default.
- W2334239751 cites W4231109964 @default.
- W2334239751 cites W4252674617 @default.
- W2334239751 doi "https://doi.org/10.7717/peerj-cs.81" @default.
- W2334239751 hasPublicationYear "2016" @default.
- W2334239751 type Work @default.
- W2334239751 sameAs 2334239751 @default.
- W2334239751 citedByCount "31" @default.
- W2334239751 countsByYear W23342397512017 @default.
- W2334239751 countsByYear W23342397512018 @default.
- W2334239751 countsByYear W23342397512019 @default.
- W2334239751 countsByYear W23342397512020 @default.
- W2334239751 countsByYear W23342397512021 @default.
- W2334239751 countsByYear W23342397512022 @default.
- W2334239751 countsByYear W23342397512023 @default.
- W2334239751 crossrefType "journal-article" @default.
- W2334239751 hasAuthorship W2334239751A5041096560 @default.
- W2334239751 hasAuthorship W2334239751A5044268573 @default.
- W2334239751 hasBestOaLocation W23342397511 @default.
- W2334239751 hasConcept C119857082 @default.
- W2334239751 hasConcept C136764020 @default.
- W2334239751 hasConcept C138885662 @default.
- W2334239751 hasConcept C143275388 @default.
- W2334239751 hasConcept C154945302 @default.
- W2334239751 hasConcept C15744967 @default.
- W2334239751 hasConcept C173801870 @default.
- W2334239751 hasConcept C17744445 @default.
- W2334239751 hasConcept C187288502 @default.
- W2334239751 hasConcept C199539241 @default.
- W2334239751 hasConcept C204321447 @default.
- W2334239751 hasConcept C2776359362 @default.
- W2334239751 hasConcept C2776401178 @default.
- W2334239751 hasConcept C2865642 @default.
- W2334239751 hasConcept C41008148 @default.
- W2334239751 hasConcept C41895202 @default.
- W2334239751 hasConcept C518677369 @default.
- W2334239751 hasConcept C52622490 @default.
- W2334239751 hasConcept C77805123 @default.
- W2334239751 hasConcept C94625758 @default.
- W2334239751 hasConceptScore W2334239751C119857082 @default.
- W2334239751 hasConceptScore W2334239751C136764020 @default.
- W2334239751 hasConceptScore W2334239751C138885662 @default.
- W2334239751 hasConceptScore W2334239751C143275388 @default.
- W2334239751 hasConceptScore W2334239751C154945302 @default.
- W2334239751 hasConceptScore W2334239751C15744967 @default.
- W2334239751 hasConceptScore W2334239751C173801870 @default.
- W2334239751 hasConceptScore W2334239751C17744445 @default.
- W2334239751 hasConceptScore W2334239751C187288502 @default.
- W2334239751 hasConceptScore W2334239751C199539241 @default.
- W2334239751 hasConceptScore W2334239751C204321447 @default.
- W2334239751 hasConceptScore W2334239751C2776359362 @default.
- W2334239751 hasConceptScore W2334239751C2776401178 @default.
- W2334239751 hasConceptScore W2334239751C2865642 @default.
- W2334239751 hasConceptScore W2334239751C41008148 @default.
- W2334239751 hasConceptScore W2334239751C41895202 @default.
- W2334239751 hasConceptScore W2334239751C518677369 @default.
- W2334239751 hasConceptScore W2334239751C52622490 @default.
- W2334239751 hasConceptScore W2334239751C77805123 @default.
- W2334239751 hasConceptScore W2334239751C94625758 @default.
- W2334239751 hasFunder F4320335777 @default.
- W2334239751 hasLocation W23342397511 @default.
- W2334239751 hasLocation W23342397512 @default.
- W2334239751 hasLocation W23342397513 @default.
- W2334239751 hasOpenAccess W2334239751 @default.
- W2334239751 hasPrimaryLocation W23342397511 @default.
- W2334239751 hasRelatedWork W225984674 @default.
- W2334239751 hasRelatedWork W2519497437 @default.
- W2334239751 hasRelatedWork W2558187273 @default.
- W2334239751 hasRelatedWork W2558381261 @default.
- W2334239751 hasRelatedWork W2785186372 @default.
- W2334239751 hasRelatedWork W2794953472 @default.
- W2334239751 hasRelatedWork W3107474891 @default.
- W2334239751 hasRelatedWork W4210656569 @default.
- W2334239751 hasRelatedWork W4296613186 @default.
- W2334239751 hasRelatedWork W4297143906 @default.
- W2334239751 hasVolume "2" @default.
- W2334239751 isParatext "false" @default.
- W2334239751 isRetracted "false" @default.
- W2334239751 magId "2334239751" @default.
- W2334239751 workType "article" @default.