Zobrazeno 1 - 10
of 1 714
pro vyhledávání: '"Short Text"'
Publikováno v:
Ain Shams Engineering Journal, Vol 15, Iss 10, Pp 102983- (2024)
Construction Quality Management (CQM) is important for achieving project quality objectives. Currently, CQM is mainly achieved through cyclical inspections and various tests and subsequent analysis of the generated text records. These texts record va
Externí odkaz:
https://doaj.org/article/a7e30da9a85240fe800673b7d692d1da
Autor:
Mutasem K. Alsmadi, Malek Alzaqebah, Sana Jawarneh, Ibrahim ALmarashdeh, Mohammed Azmi Al-Betar, Maram Alwohaibi, Noha A. Al-Mulla, Eman AE Ahmed, Ahmad AL Smadi
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-21 (2024)
Abstract Topic modeling methods proved to be effective for inferring latent topics from short texts. Dealing with short texts is challenging yet helpful for many real-world applications, due to the sparse terms in the text and the high dimensionality
Externí odkaz:
https://doaj.org/article/3a77b2ad8c6b4d1198856d4083223042
Publikováno v:
HighTech and Innovation Journal, Vol 5, Iss 1, Pp 170-184 (2024)
Food safety comment classification represents a specialized task within the realm of text classification. The objective is to efficiently identify a large volume of food safety comments, aiding relevant authorities in timely food analysis and safety
Externí odkaz:
https://doaj.org/article/a3b1105942cd43608ce8cb2cbdf703da
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
The correctness of the intelligent electronic devices (IEDs) virtual circuit connections in intelligent substations directly affects the stability of the system operation. Existing verification methods suffer from low efficiency in manual verificatio
Externí odkaz:
https://doaj.org/article/4f9f70be83c0437fb06b12d7cfdd42a8
Publikováno v:
IEEE Access, Vol 12, Pp 109255-109268 (2024)
The application of big data technology in agricultural production has led to explosive growth in agricultural data. The accurate classification of agricultural questions from vast amounts of question-and-answer data is currently a prominent topic in
Externí odkaz:
https://doaj.org/article/e6fb16c5f223434396126edd280e96b4
Autor:
Aixiang He, Mideth Abisado
Publikováno v:
IEEE Access, Vol 12, Pp 45229-45237 (2024)
To solve the problems of polysemy and feature extraction in the text sentiment analysis process, a BERT-CNN-BiLSTM-Att hybrid model has been proposed for text sentiment analysis. The BERT pre-training model was established to break up the text input
Externí odkaz:
https://doaj.org/article/f05840bb28544cbcb22daf1322dde4ca
Publikováno v:
Computers, Vol 13, Iss 9, p 236 (2024)
Analyzing the semantic similarity of cross-lingual texts is a crucial part of natural language processing (NLP). The computation of semantic similarity is essential for a variety of tasks such as evaluating machine translation systems, quality checki
Externí odkaz:
https://doaj.org/article/cfdf3b246b9c4903bfc34e2f659f1b73
Autor:
Laure Sauvage
Publikováno v:
Voix Plurielles, Vol 21, Iss 1 (2024)
Examining the tensions between everyday life and contemporary poetic aphorism, this article shows that the aphoristic genre explores a conflicting structure between salience and seriality.
Externí odkaz:
https://doaj.org/article/7cb0fc4f39fc4258b90fa3f953c4aa47
Autor:
Zhenyu Li, Zongfeng Zou
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 3, Pp 102010- (2024)
Sentiment analysis measures user experience on social media. With the emergence of pre-trained models, text classification tasks have become homogeneous, without a significant improvement in accuracy. Therefore, we present a hybrid model called PLASA
Externí odkaz:
https://doaj.org/article/8455c6c9f4cd4e0fa54bcb5148c7cacb
Publikováno v:
Applied Sciences, Vol 14, Iss 11, p 4906 (2024)
Text information on the internet often has a strong sense of immediacy, constantly reflecting societal dynamics and evolving events. This is especially crucial in the field of news text, where the classification and analysis of these immediate and va
Externí odkaz:
https://doaj.org/article/715bf8abc3d842cda9ed6cd7fb37a6dc