Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387677260> ?p ?o ?g. }
Showing items 1 to 82 of
82
with 100 items per page.
- W4387677260 abstract "Sentiment analysis, the intricate task of discerning and classifying the myriad of sentiments conveyed within textual data, has captured substantial interest and intrigue, primarily driven by the pervasive utilization and influence of social media platforms. In this study, a novel approach to enhance sentiment analysis of Twitter data by employing Recurrent Neural Networks (RNNs) with an attention mechanism is proposed. The proposed model leverages the sequential nature of tweets and the attention mechanism to capture the inherent dependencies between words and highlight salient information. The RNN-based model on a large-scale dataset of annotated Twitter data, encompassing diverse sentiments is trained. The model effectively learns the contextual information and sentiment patterns, enabling accurate sentiment classification. A comprehensive set of tests were run to evaluate the effectiveness of this methodology, and the outcomes were meticulously compared to those of traditional machine learning algorithms and established deep learning models. The empirical findings demonstrate that proposed attention-based RNN model performs better than competing methods and achieves cutting-edge performance on sentiment analysis of Twitter data. Moreover, an in-depth analysis of the attention weights generated by the model, shedding light on the significant words and phrases influencing sentiment classification is conducted. This provides valuable insights into the underlying sentiment dynamics in Twitter data. Proposed research contributes to the field of sentiment analysis by proposing an effective and robust approach for Twitter sentiment classification. The findings highlight the potential of RNNs with attention mechanisms in capturing the nuanced sentiment expressions prevalent in social media text. The proposed model can facilitate various applications, including real-time sentiment monitoring, brand reputation analysis, and public opinion tracking, benefiting industries and researchers alike." @default.
- W4387677260 created "2023-10-17" @default.
- W4387677260 creator A5010421862 @default.
- W4387677260 creator A5022765080 @default.
- W4387677260 creator A5024233368 @default.
- W4387677260 creator A5041096861 @default.
- W4387677260 creator A5062638836 @default.
- W4387677260 creator A5069080333 @default.
- W4387677260 date "2023-09-20" @default.
- W4387677260 modified "2023-10-18" @default.
- W4387677260 title "Enhancing Sentiment Analysis of Twitter Data Using Recurrent Neural Networks with Attention Mechanism" @default.
- W4387677260 cites W1587871245 @default.
- W4387677260 cites W2022204871 @default.
- W4387677260 cites W2031428927 @default.
- W4387677260 cites W2888501547 @default.
- W4387677260 cites W2919929668 @default.
- W4387677260 cites W2996347617 @default.
- W4387677260 cites W3049681097 @default.
- W4387677260 cites W3127056209 @default.
- W4387677260 cites W3197464190 @default.
- W4387677260 cites W4285240945 @default.
- W4387677260 cites W4319984444 @default.
- W4387677260 cites W4366217673 @default.
- W4387677260 doi "https://doi.org/10.1109/icosec58147.2023.10276098" @default.
- W4387677260 hasPublicationYear "2023" @default.
- W4387677260 type Work @default.
- W4387677260 citedByCount "0" @default.
- W4387677260 crossrefType "proceedings-article" @default.
- W4387677260 hasAuthorship W4387677260A5010421862 @default.
- W4387677260 hasAuthorship W4387677260A5022765080 @default.
- W4387677260 hasAuthorship W4387677260A5024233368 @default.
- W4387677260 hasAuthorship W4387677260A5041096861 @default.
- W4387677260 hasAuthorship W4387677260A5062638836 @default.
- W4387677260 hasAuthorship W4387677260A5069080333 @default.
- W4387677260 hasConcept C108583219 @default.
- W4387677260 hasConcept C111472728 @default.
- W4387677260 hasConcept C119857082 @default.
- W4387677260 hasConcept C136764020 @default.
- W4387677260 hasConcept C138885662 @default.
- W4387677260 hasConcept C147168706 @default.
- W4387677260 hasConcept C154945302 @default.
- W4387677260 hasConcept C162324750 @default.
- W4387677260 hasConcept C187736073 @default.
- W4387677260 hasConcept C2780451532 @default.
- W4387677260 hasConcept C2780719617 @default.
- W4387677260 hasConcept C41008148 @default.
- W4387677260 hasConcept C50644808 @default.
- W4387677260 hasConcept C518677369 @default.
- W4387677260 hasConcept C66402592 @default.
- W4387677260 hasConcept C89611455 @default.
- W4387677260 hasConceptScore W4387677260C108583219 @default.
- W4387677260 hasConceptScore W4387677260C111472728 @default.
- W4387677260 hasConceptScore W4387677260C119857082 @default.
- W4387677260 hasConceptScore W4387677260C136764020 @default.
- W4387677260 hasConceptScore W4387677260C138885662 @default.
- W4387677260 hasConceptScore W4387677260C147168706 @default.
- W4387677260 hasConceptScore W4387677260C154945302 @default.
- W4387677260 hasConceptScore W4387677260C162324750 @default.
- W4387677260 hasConceptScore W4387677260C187736073 @default.
- W4387677260 hasConceptScore W4387677260C2780451532 @default.
- W4387677260 hasConceptScore W4387677260C2780719617 @default.
- W4387677260 hasConceptScore W4387677260C41008148 @default.
- W4387677260 hasConceptScore W4387677260C50644808 @default.
- W4387677260 hasConceptScore W4387677260C518677369 @default.
- W4387677260 hasConceptScore W4387677260C66402592 @default.
- W4387677260 hasConceptScore W4387677260C89611455 @default.
- W4387677260 hasLocation W43876772601 @default.
- W4387677260 hasOpenAccess W4387677260 @default.
- W4387677260 hasPrimaryLocation W43876772601 @default.
- W4387677260 hasRelatedWork W1847088711 @default.
- W4387677260 hasRelatedWork W2329500892 @default.
- W4387677260 hasRelatedWork W2548633793 @default.
- W4387677260 hasRelatedWork W28991112 @default.
- W4387677260 hasRelatedWork W2953061907 @default.
- W4387677260 hasRelatedWork W3032952384 @default.
- W4387677260 hasRelatedWork W3034302643 @default.
- W4387677260 hasRelatedWork W3089396779 @default.
- W4387677260 hasRelatedWork W4225394202 @default.
- W4387677260 hasRelatedWork W4298287631 @default.
- W4387677260 isParatext "false" @default.
- W4387677260 isRetracted "false" @default.
- W4387677260 workType "article" @default.