Matches in SemOpenAlex for { <https://semopenalex.org/work/W3134799669> ?p ?o ?g. }
Showing items 1 to 48 of
48
with 100 items per page.
- W3134799669 endingPage "65" @default.
- W3134799669 startingPage "65" @default.
- W3134799669 abstract "The problem of sparse vector representation exists in handling the large-scale data and also semantics of words are not considered in many existing works of sentiment analysis. Effective word embedding techniques improve the task of sentiment analysis by overcoming the above two problems. It is a challenging task, when the review is expressed in multiple sentences and the entire sentence needs to be considered instead of individual words to determine the sentiment. To achieve this task, we have proposed a novel LSTM-based deep learning architecture that applies a sentence embedding using universal sentence encoder along with an attention layer. To evaluate the proposed approach, we have carried out various experiments on IMDB data set. From the experimental results, it is observed that the proposed method is significantly better than the other word-embedding-based approaches with an improvement of 5% and we have achieved a F1 score of 89.12% for our approach." @default.
- W3134799669 created "2021-03-15" @default.
- W3134799669 creator A5084918146 @default.
- W3134799669 creator A5086703259 @default.
- W3134799669 date "2021-01-01" @default.
- W3134799669 modified "2023-09-26" @default.
- W3134799669 title "Self-attention based sentiment analysis with effective embedding techniques" @default.
- W3134799669 doi "https://doi.org/10.1504/ijcat.2021.10036099" @default.
- W3134799669 hasPublicationYear "2021" @default.
- W3134799669 type Work @default.
- W3134799669 sameAs 3134799669 @default.
- W3134799669 citedByCount "1" @default.
- W3134799669 countsByYear W31347996692021 @default.
- W3134799669 crossrefType "journal-article" @default.
- W3134799669 hasAuthorship W3134799669A5084918146 @default.
- W3134799669 hasAuthorship W3134799669A5086703259 @default.
- W3134799669 hasBestOaLocation W31347996691 @default.
- W3134799669 hasConcept C154945302 @default.
- W3134799669 hasConcept C15744967 @default.
- W3134799669 hasConcept C204321447 @default.
- W3134799669 hasConcept C41008148 @default.
- W3134799669 hasConcept C66402592 @default.
- W3134799669 hasConceptScore W3134799669C154945302 @default.
- W3134799669 hasConceptScore W3134799669C15744967 @default.
- W3134799669 hasConceptScore W3134799669C204321447 @default.
- W3134799669 hasConceptScore W3134799669C41008148 @default.
- W3134799669 hasConceptScore W3134799669C66402592 @default.
- W3134799669 hasIssue "1" @default.
- W3134799669 hasLocation W31347996691 @default.
- W3134799669 hasOpenAccess W3134799669 @default.
- W3134799669 hasPrimaryLocation W31347996691 @default.
- W3134799669 hasRelatedWork W2024691726 @default.
- W3134799669 hasRelatedWork W2326619756 @default.
- W3134799669 hasRelatedWork W2748952813 @default.
- W3134799669 hasRelatedWork W2899084033 @default.
- W3134799669 hasRelatedWork W2901590103 @default.
- W3134799669 hasRelatedWork W2909085234 @default.
- W3134799669 hasRelatedWork W3015597294 @default.
- W3134799669 hasRelatedWork W3027466640 @default.
- W3134799669 hasRelatedWork W3107474891 @default.
- W3134799669 hasRelatedWork W4312833533 @default.
- W3134799669 hasVolume "65" @default.
- W3134799669 isParatext "false" @default.
- W3134799669 isRetracted "false" @default.
- W3134799669 magId "3134799669" @default.
- W3134799669 workType "article" @default.