Matches in SemOpenAlex for { <https://semopenalex.org/work/W4225633507> ?p ?o ?g. }
Showing items 1 to 75 of
75
with 100 items per page.
- W4225633507 endingPage "192" @default.
- W4225633507 startingPage "183" @default.
- W4225633507 abstract "The similarity recommendation of twitter data is evaluated by using sentiment analysis method. In this paper, the deep learning processes such as classification, clustering and prediction are used to measure the data. Convolutional neural network is applied for analyzing multimedia contents which is received from various sources. Recurrent neural network is used for handling the natural language data. The content based recommendation system is proposed for selecting similarity index in twitter data using deep sentiment learning method. In this paper, sentiment analysis technique is used for finding similar images, contents, texts, etc. The content is selected based on repetitive comments and trending information. Hash tag is also considered for data collection and prediction. The number tweets are accountable and each character is taken for evaluation. Deep belief network is generated using 512 × 512 × 3 layers system and 1056 trained data, 512 test data that are taken for convolution process. The deep belief network is generated using TensorFlow. TensorFlow is used to simulate the deep learning environments. Semantic analysis is applied for handling Twitter Data. The deep learning processes are classified into clustering, regression and prediction that are evaluated by step by setup approach. The experiments are carried out using similarity index calculation and measuring of accuracy. The results of similarity recommendation are compared with existing method and the results are recorded. Our proposed system gives better results comparing with existing experiments." @default.
- W4225633507 created "2022-05-05" @default.
- W4225633507 creator A5070759156 @default.
- W4225633507 creator A5078419178 @default.
- W4225633507 creator A5088697437 @default.
- W4225633507 creator A5091527260 @default.
- W4225633507 date "2022-01-01" @default.
- W4225633507 modified "2023-09-26" @default.
- W4225633507 title "Deep Sentiment Learning for Measuring Similarity Recommendations in Twitter Data" @default.
- W4225633507 cites W2250539671 @default.
- W4225633507 cites W2887803594 @default.
- W4225633507 cites W2929472605 @default.
- W4225633507 cites W3046244756 @default.
- W4225633507 cites W3197223205 @default.
- W4225633507 cites W4312926974 @default.
- W4225633507 doi "https://doi.org/10.32604/iasc.2022.023469" @default.
- W4225633507 hasPublicationYear "2022" @default.
- W4225633507 type Work @default.
- W4225633507 citedByCount "10" @default.
- W4225633507 countsByYear W42256335072022 @default.
- W4225633507 countsByYear W42256335072023 @default.
- W4225633507 crossrefType "journal-article" @default.
- W4225633507 hasAuthorship W4225633507A5070759156 @default.
- W4225633507 hasAuthorship W4225633507A5078419178 @default.
- W4225633507 hasAuthorship W4225633507A5088697437 @default.
- W4225633507 hasAuthorship W4225633507A5091527260 @default.
- W4225633507 hasBestOaLocation W42256335071 @default.
- W4225633507 hasConcept C103278499 @default.
- W4225633507 hasConcept C108583219 @default.
- W4225633507 hasConcept C115961682 @default.
- W4225633507 hasConcept C119857082 @default.
- W4225633507 hasConcept C124101348 @default.
- W4225633507 hasConcept C130318100 @default.
- W4225633507 hasConcept C154945302 @default.
- W4225633507 hasConcept C204321447 @default.
- W4225633507 hasConcept C41008148 @default.
- W4225633507 hasConcept C50644808 @default.
- W4225633507 hasConcept C66402592 @default.
- W4225633507 hasConcept C73555534 @default.
- W4225633507 hasConcept C81363708 @default.
- W4225633507 hasConcept C97385483 @default.
- W4225633507 hasConceptScore W4225633507C103278499 @default.
- W4225633507 hasConceptScore W4225633507C108583219 @default.
- W4225633507 hasConceptScore W4225633507C115961682 @default.
- W4225633507 hasConceptScore W4225633507C119857082 @default.
- W4225633507 hasConceptScore W4225633507C124101348 @default.
- W4225633507 hasConceptScore W4225633507C130318100 @default.
- W4225633507 hasConceptScore W4225633507C154945302 @default.
- W4225633507 hasConceptScore W4225633507C204321447 @default.
- W4225633507 hasConceptScore W4225633507C41008148 @default.
- W4225633507 hasConceptScore W4225633507C50644808 @default.
- W4225633507 hasConceptScore W4225633507C66402592 @default.
- W4225633507 hasConceptScore W4225633507C73555534 @default.
- W4225633507 hasConceptScore W4225633507C81363708 @default.
- W4225633507 hasConceptScore W4225633507C97385483 @default.
- W4225633507 hasIssue "1" @default.
- W4225633507 hasLocation W42256335071 @default.
- W4225633507 hasOpenAccess W4225633507 @default.
- W4225633507 hasPrimaryLocation W42256335071 @default.
- W4225633507 hasRelatedWork W1501213224 @default.
- W4225633507 hasRelatedWork W2795261237 @default.
- W4225633507 hasRelatedWork W2999805992 @default.
- W4225633507 hasRelatedWork W3123344745 @default.
- W4225633507 hasRelatedWork W3192794374 @default.
- W4225633507 hasRelatedWork W4210841218 @default.
- W4225633507 hasRelatedWork W4302303815 @default.
- W4225633507 hasRelatedWork W4312200629 @default.
- W4225633507 hasRelatedWork W4312417841 @default.
- W4225633507 hasRelatedWork W4321369474 @default.
- W4225633507 hasVolume "34" @default.
- W4225633507 isParatext "false" @default.
- W4225633507 isRetracted "false" @default.
- W4225633507 workType "article" @default.