Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387544540> ?p ?o ?g. }
Showing items 1 to 63 of
63
with 100 items per page.
- W4387544540 endingPage "326" @default.
- W4387544540 startingPage "315" @default.
- W4387544540 abstract "This study aimed to address the limitations of sentiment analysis by developing a more accurate and flexible sentiment scoring model using ChatGPT in combination with KNN, RNN, and CNN algorithms. To achieve this, primary data from ChatGPT and secondary data from Kaggle were utilized for training. The model's performance was evaluated, yielding an impressive accuracy rate of 88.17%. This research underscores ChatGPT's pivotal role in offering theoretical insights and precise data for diverse applications. The novelty of this study lies in its innovative approach of combining KNN, RNN, and CNN algorithms to create a more adaptable and accurate sentiment scoring model. Additionally, the primary data from ChatGPT greatly enhances the creation of precise and relevant training data across various topics and languages. Despite these achievements, there remains a need for further exploration of testing methods to mitigate the impact of data limitations on result generalizability. Moreover, it is acknowledged that the model's effectiveness may be diminished when applied to languages other than English. Nevertheless, this research provides a promising avenue for users seeking enhanced and precise sentiment analysis by integrating KNN, RNN, and CNN algorithms with ChatGPT. The findings of this study can serve as a solid foundation for future research endeavors in the advancement of sophisticated and effective sentiment analysis technologies. Doi: 10.28991/HIJ-2023-04-02-06 Full Text: PDF" @default.
- W4387544540 created "2023-10-12" @default.
- W4387544540 creator A5042370035 @default.
- W4387544540 creator A5080401066 @default.
- W4387544540 date "2023-06-01" @default.
- W4387544540 modified "2023-10-12" @default.
- W4387544540 title "Exploring the Flexibility and Accuracy of Sentiment Scoring Models through a Hybrid KNN-RNN-CNN Algorithm and ChatGPT" @default.
- W4387544540 doi "https://doi.org/10.28991/hij-2023-04-02-06" @default.
- W4387544540 hasPublicationYear "2023" @default.
- W4387544540 type Work @default.
- W4387544540 citedByCount "0" @default.
- W4387544540 crossrefType "journal-article" @default.
- W4387544540 hasAuthorship W4387544540A5042370035 @default.
- W4387544540 hasAuthorship W4387544540A5080401066 @default.
- W4387544540 hasBestOaLocation W43875445401 @default.
- W4387544540 hasConcept C105795698 @default.
- W4387544540 hasConcept C119857082 @default.
- W4387544540 hasConcept C138885662 @default.
- W4387544540 hasConcept C147168706 @default.
- W4387544540 hasConcept C154945302 @default.
- W4387544540 hasConcept C2522767166 @default.
- W4387544540 hasConcept C27158222 @default.
- W4387544540 hasConcept C27206212 @default.
- W4387544540 hasConcept C2778738651 @default.
- W4387544540 hasConcept C2780598303 @default.
- W4387544540 hasConcept C33923547 @default.
- W4387544540 hasConcept C41008148 @default.
- W4387544540 hasConcept C50644808 @default.
- W4387544540 hasConcept C66402592 @default.
- W4387544540 hasConceptScore W4387544540C105795698 @default.
- W4387544540 hasConceptScore W4387544540C119857082 @default.
- W4387544540 hasConceptScore W4387544540C138885662 @default.
- W4387544540 hasConceptScore W4387544540C147168706 @default.
- W4387544540 hasConceptScore W4387544540C154945302 @default.
- W4387544540 hasConceptScore W4387544540C2522767166 @default.
- W4387544540 hasConceptScore W4387544540C27158222 @default.
- W4387544540 hasConceptScore W4387544540C27206212 @default.
- W4387544540 hasConceptScore W4387544540C2778738651 @default.
- W4387544540 hasConceptScore W4387544540C2780598303 @default.
- W4387544540 hasConceptScore W4387544540C33923547 @default.
- W4387544540 hasConceptScore W4387544540C41008148 @default.
- W4387544540 hasConceptScore W4387544540C50644808 @default.
- W4387544540 hasConceptScore W4387544540C66402592 @default.
- W4387544540 hasIssue "2" @default.
- W4387544540 hasLocation W43875445401 @default.
- W4387544540 hasOpenAccess W4387544540 @default.
- W4387544540 hasPrimaryLocation W43875445401 @default.
- W4387544540 hasRelatedWork W1549477351 @default.
- W4387544540 hasRelatedWork W1958015814 @default.
- W4387544540 hasRelatedWork W2008630378 @default.
- W4387544540 hasRelatedWork W2015341305 @default.
- W4387544540 hasRelatedWork W2035068594 @default.
- W4387544540 hasRelatedWork W2059783833 @default.
- W4387544540 hasRelatedWork W2118717649 @default.
- W4387544540 hasRelatedWork W2413243053 @default.
- W4387544540 hasRelatedWork W410723623 @default.
- W4387544540 hasRelatedWork W4225593417 @default.
- W4387544540 hasVolume "4" @default.
- W4387544540 isParatext "false" @default.
- W4387544540 isRetracted "false" @default.
- W4387544540 workType "article" @default.