Emotion classification of Indonesian Tweets using Bidirectional LSTM
CC BY
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| Định dạng: | Sách |
| Ngôn ngữ: | English |
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Springer
2023
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| Truy cập trực tuyến: | https://link.springer.com/article/10.1007/s00521-022-08186-1 https://dlib.phenikaa-uni.edu.vn/handle/PNK/8273 |
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oai:localhost:PNK-82732023-04-25T03:54:53Z Emotion classification of Indonesian Tweets using Bidirectional LSTM Aaron, Glenn Phillip, LaCasse Bruce, Cox Bidirectional LSTM CC BY Emotion classification can be a powerful tool to derive narratives from social media data. Traditional machine learning models that perform emotion classification on Indonesian Twitter data exist but rely on closed-source features. Recurrent neural networks can meet or exceed the performance of state-of-the-art traditional machine learning techniques using exclusively open-source data and models. Specifically, these results show that recurrent neural network variants can produce more than an 8% gain in accuracy in comparison with logistic regression and SVM techniques and a 15% gain over random forest when using FastText embeddings. 2023-04-25T03:54:53Z 2023-04-25T03:54:53Z 2023 Book https://link.springer.com/article/10.1007/s00521-022-08186-1 https://dlib.phenikaa-uni.edu.vn/handle/PNK/8273 en application/pdf Springer |
| institution |
Digital Phenikaa |
| collection |
Digital Phenikaa |
| language |
English |
| topic |
Bidirectional LSTM |
| spellingShingle |
Bidirectional LSTM Aaron, Glenn Phillip, LaCasse Bruce, Cox Emotion classification of Indonesian Tweets using Bidirectional LSTM |
| description |
CC BY |
| format |
Book |
| author |
Aaron, Glenn Phillip, LaCasse Bruce, Cox |
| author_facet |
Aaron, Glenn Phillip, LaCasse Bruce, Cox |
| author_sort |
Aaron, Glenn |
| title |
Emotion classification of Indonesian Tweets using Bidirectional LSTM |
| title_short |
Emotion classification of Indonesian Tweets using Bidirectional LSTM |
| title_full |
Emotion classification of Indonesian Tweets using Bidirectional LSTM |
| title_fullStr |
Emotion classification of Indonesian Tweets using Bidirectional LSTM |
| title_full_unstemmed |
Emotion classification of Indonesian Tweets using Bidirectional LSTM |
| title_sort |
emotion classification of indonesian tweets using bidirectional lstm |
| publisher |
Springer |
| publishDate |
2023 |
| url |
https://link.springer.com/article/10.1007/s00521-022-08186-1 https://dlib.phenikaa-uni.edu.vn/handle/PNK/8273 |
| _version_ |
1764177436928376832 |
| score |
8.891145 |