Matches in SemOpenAlex for { <https://semopenalex.org/work/W2567722024> ?p ?o ?g. }
Showing items 1 to 87 of
87
with 100 items per page.
- W2567722024 abstract "With its ever growing amount of user-generated content, the Web has become a trove of consumer information. The free text format in which most of this content is written, however, prevents straightforward analysis. Instead, natural language processing techniques are required to quantify the textual information embedded within text. This research focuses on extracting the sentiment that can be found in consumer reviews. In particular, we focus on finding the sentiment associated with the various aspects of the product or service a consumer writes about. Using a standard Support Vector Machine for classification, we propose six different types of patterns: lexical, syntactical, synset, sentiment, hybrid, surface. We demonstrate that several of these lexico-syntactic patterns can be used to improve sentiment classification for aspects." @default.
- W2567722024 created "2017-01-06" @default.
- W2567722024 creator A5004473881 @default.
- W2567722024 creator A5035334158 @default.
- W2567722024 creator A5037714878 @default.
- W2567722024 creator A5044867921 @default.
- W2567722024 creator A5065634483 @default.
- W2567722024 creator A5070604721 @default.
- W2567722024 creator A5074987628 @default.
- W2567722024 creator A5083164542 @default.
- W2567722024 date "2016-01-01" @default.
- W2567722024 modified "2023-09-26" @default.
- W2567722024 title "Aspect-Based Sentiment Analysis Using Lexico-Semantic Patterns" @default.
- W2567722024 cites W2015198390 @default.
- W2567722024 cites W2199803028 @default.
- W2567722024 cites W2241325947 @default.
- W2567722024 cites W2250214463 @default.
- W2567722024 cites W2251294039 @default.
- W2567722024 cites W2252057809 @default.
- W2567722024 doi "https://doi.org/10.1007/978-3-319-48743-4_3" @default.
- W2567722024 hasPublicationYear "2016" @default.
- W2567722024 type Work @default.
- W2567722024 sameAs 2567722024 @default.
- W2567722024 citedByCount "6" @default.
- W2567722024 countsByYear W25677220242017 @default.
- W2567722024 countsByYear W25677220242019 @default.
- W2567722024 countsByYear W25677220242020 @default.
- W2567722024 countsByYear W25677220242021 @default.
- W2567722024 countsByYear W25677220242022 @default.
- W2567722024 crossrefType "book-chapter" @default.
- W2567722024 hasAuthorship W2567722024A5004473881 @default.
- W2567722024 hasAuthorship W2567722024A5035334158 @default.
- W2567722024 hasAuthorship W2567722024A5037714878 @default.
- W2567722024 hasAuthorship W2567722024A5044867921 @default.
- W2567722024 hasAuthorship W2567722024A5065634483 @default.
- W2567722024 hasAuthorship W2567722024A5070604721 @default.
- W2567722024 hasAuthorship W2567722024A5074987628 @default.
- W2567722024 hasAuthorship W2567722024A5083164542 @default.
- W2567722024 hasConcept C120665830 @default.
- W2567722024 hasConcept C121332964 @default.
- W2567722024 hasConcept C12267149 @default.
- W2567722024 hasConcept C154945302 @default.
- W2567722024 hasConcept C192209626 @default.
- W2567722024 hasConcept C204321447 @default.
- W2567722024 hasConcept C23123220 @default.
- W2567722024 hasConcept C2777776507 @default.
- W2567722024 hasConcept C2778121359 @default.
- W2567722024 hasConcept C41008148 @default.
- W2567722024 hasConcept C66402592 @default.
- W2567722024 hasConceptScore W2567722024C120665830 @default.
- W2567722024 hasConceptScore W2567722024C121332964 @default.
- W2567722024 hasConceptScore W2567722024C12267149 @default.
- W2567722024 hasConceptScore W2567722024C154945302 @default.
- W2567722024 hasConceptScore W2567722024C192209626 @default.
- W2567722024 hasConceptScore W2567722024C204321447 @default.
- W2567722024 hasConceptScore W2567722024C23123220 @default.
- W2567722024 hasConceptScore W2567722024C2777776507 @default.
- W2567722024 hasConceptScore W2567722024C2778121359 @default.
- W2567722024 hasConceptScore W2567722024C41008148 @default.
- W2567722024 hasConceptScore W2567722024C66402592 @default.
- W2567722024 hasLocation W25677220241 @default.
- W2567722024 hasOpenAccess W2567722024 @default.
- W2567722024 hasPrimaryLocation W25677220241 @default.
- W2567722024 hasRelatedWork W154934745 @default.
- W2567722024 hasRelatedWork W1729960912 @default.
- W2567722024 hasRelatedWork W2091262745 @default.
- W2567722024 hasRelatedWork W2177620525 @default.
- W2567722024 hasRelatedWork W2480813186 @default.
- W2567722024 hasRelatedWork W2558954386 @default.
- W2567722024 hasRelatedWork W2566366822 @default.
- W2567722024 hasRelatedWork W2587830315 @default.
- W2567722024 hasRelatedWork W2600379909 @default.
- W2567722024 hasRelatedWork W2741843760 @default.
- W2567722024 hasRelatedWork W2742055865 @default.
- W2567722024 hasRelatedWork W2782466834 @default.
- W2567722024 hasRelatedWork W2800742438 @default.
- W2567722024 hasRelatedWork W2805325010 @default.
- W2567722024 hasRelatedWork W2889599398 @default.
- W2567722024 hasRelatedWork W2896245874 @default.
- W2567722024 hasRelatedWork W2901394596 @default.
- W2567722024 hasRelatedWork W2943320375 @default.
- W2567722024 hasRelatedWork W2975174210 @default.
- W2567722024 hasRelatedWork W3205826705 @default.
- W2567722024 isParatext "false" @default.
- W2567722024 isRetracted "false" @default.
- W2567722024 magId "2567722024" @default.
- W2567722024 workType "book-chapter" @default.