FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2990522170> ?p ?o ?g. }

• W2990522170 endingPage "128" @default.
• W2990522170 startingPage "113" @default.
• W2990522170 abstract "In an opinionated long review, there may be several targets described by different potential terms. Traditional review-level techniques for Persian sentiment analysis addressed the problem using a one-method-fits-all solution in which the overall polarity of a review is calculated using all its opinionated words without considering their target. In this article, a new method is proposed, which first decomposes a long review into its constituent sentences and then detects the main target of each sentence. In the next step, five policies, including most occurring first (MOF), most general first (MGF), most specific first (MSF), first occurring first (FOF), and last occurring first (LOF), are proposed to come up with the main target of the review. Finally, using the part-of-speech (POS) tags, potential terms in the sentences are specified and a comprehensive sentiment lexicon is employed to compute the polarity of the sentences. In order to evaluate the proposed method, three data sets of user reviews about different topics, including digital equipment, hotels, and movies, are created as no previous study addressed the problem of target identification in the Persian language. The results of comparing the proposed method with a state-of-the-art lexicon-based method show that specifying the main targets of reviews can improve the performance of the systems about 17% and 12% in terms of accuracy and F1-measure. Moreover, the proposed method using the MGF policy achieves the best performance in finding the main target of reviews, while for finding the ultimate polarity of reviews, the MOF outperforms other policies." @default.
• W2990522170 created "2019-12-05" @default.
• W2990522170 creator A5011712422 @default.
• W2990522170 creator A5014000715 @default.
• W2990522170 creator A5029483508 @default.
• W2990522170 creator A5056799282 @default.
• W2990522170 creator A5060051647 @default.
• W2990522170 creator A5066397925 @default.
• W2990522170 creator A5091182703 @default.
• W2990522170 date "2020-02-01" @default.
• W2990522170 modified "2023-10-16" @default.
• W2990522170 title "Improving Sentiment Polarity Detection Through Target Identification" @default.
• W2990522170 cites W1932844280 @default.
• W2990522170 cites W1968215287 @default.
• W2990522170 cites W1979133623 @default.
• W2990522170 cites W1979432867 @default.
• W2990522170 cites W1987425720 @default.
• W2990522170 cites W1998797625 @default.
• W2990522170 cites W2081031258 @default.
• W2990522170 cites W2084046180 @default.
• W2990522170 cites W2088879970 @default.
• W2990522170 cites W2089722028 @default.
• W2990522170 cites W2127613773 @default.
• W2990522170 cites W2135622467 @default.
• W2990522170 cites W2149167588 @default.
• W2990522170 cites W2166706824 @default.
• W2990522170 cites W2252057809 @default.
• W2990522170 cites W2513534526 @default.
• W2990522170 cites W2556605533 @default.
• W2990522170 cites W2560136348 @default.
• W2990522170 cites W2594612337 @default.
• W2990522170 cites W2606962553 @default.
• W2990522170 cites W2736344293 @default.
• W2990522170 cites W2738686333 @default.
• W2990522170 cites W2757016771 @default.
• W2990522170 cites W2767716323 @default.
• W2990522170 cites W2791598615 @default.
• W2990522170 cites W2792962410 @default.
• W2990522170 cites W2794904450 @default.
• W2990522170 cites W2806102057 @default.
• W2990522170 cites W2912374904 @default.
• W2990522170 cites W2926264417 @default.
• W2990522170 cites W2947431935 @default.
• W2990522170 cites W2956281465 @default.
• W2990522170 cites W4205184193 @default.
• W2990522170 cites W4211186029 @default.
• W2990522170 cites W4233906183 @default.
• W2990522170 doi "https://doi.org/10.1109/tcss.2019.2951326" @default.
• W2990522170 hasPublicationYear "2020" @default.
• W2990522170 type Work @default.
• W2990522170 sameAs 2990522170 @default.
• W2990522170 citedByCount "12" @default.
• W2990522170 countsByYear W29905221702020 @default.
• W2990522170 countsByYear W29905221702021 @default.
• W2990522170 countsByYear W29905221702022 @default.
• W2990522170 countsByYear W29905221702023 @default.
• W2990522170 crossrefType "journal-article" @default.
• W2990522170 hasAuthorship W2990522170A5011712422 @default.
• W2990522170 hasAuthorship W2990522170A5014000715 @default.
• W2990522170 hasAuthorship W2990522170A5029483508 @default.
• W2990522170 hasAuthorship W2990522170A5056799282 @default.
• W2990522170 hasAuthorship W2990522170A5060051647 @default.
• W2990522170 hasAuthorship W2990522170A5066397925 @default.
• W2990522170 hasAuthorship W2990522170A5091182703 @default.
• W2990522170 hasConcept C116834253 @default.
• W2990522170 hasConcept C1491633281 @default.
• W2990522170 hasConcept C154945302 @default.
• W2990522170 hasConcept C185592680 @default.
• W2990522170 hasConcept C2777361361 @default.
• W2990522170 hasConcept C41008148 @default.
• W2990522170 hasConcept C55493867 @default.
• W2990522170 hasConcept C59822182 @default.
• W2990522170 hasConcept C86803240 @default.
• W2990522170 hasConceptScore W2990522170C116834253 @default.
• W2990522170 hasConceptScore W2990522170C1491633281 @default.
• W2990522170 hasConceptScore W2990522170C154945302 @default.
• W2990522170 hasConceptScore W2990522170C185592680 @default.
• W2990522170 hasConceptScore W2990522170C2777361361 @default.
• W2990522170 hasConceptScore W2990522170C41008148 @default.
• W2990522170 hasConceptScore W2990522170C55493867 @default.
• W2990522170 hasConceptScore W2990522170C59822182 @default.
• W2990522170 hasConceptScore W2990522170C86803240 @default.
• W2990522170 hasIssue "1" @default.
• W2990522170 hasLocation W29905221701 @default.
• W2990522170 hasOpenAccess W2990522170 @default.
• W2990522170 hasPrimaryLocation W29905221701 @default.
• W2990522170 hasRelatedWork W130824990 @default.
• W2990522170 hasRelatedWork W2012503034 @default.
• W2990522170 hasRelatedWork W2118027802 @default.
• W2990522170 hasRelatedWork W2251478731 @default.
• W2990522170 hasRelatedWork W2251988637 @default.
• W2990522170 hasRelatedWork W2328211000 @default.
• W2990522170 hasRelatedWork W2363804782 @default.
• W2990522170 hasRelatedWork W2899374547 @default.
• W2990522170 hasRelatedWork W4205838791 @default.
• W2990522170 hasRelatedWork W4210550446 @default.
• W2990522170 hasVolume "7" @default.
• W2990522170 isParatext "false" @default.

• next