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In this paper we propose a text mining approach to extract bilingual multiword expression.
Considering the characters of a specific emergency domain, we propose a text classification based on emergency domain words and machine learning technique taking a System Engineering view.
We propose a text classification approach to the problem: we wish to automatically identify traffic-related messages posted on Twitter, among the millions of unrelated messages posted by users.
The learning design of ALMA is based on Kintsch's Construction-Integration model for text comprehension and takes into account the learner's background knowledge in order to propose a text of appropriate cohesion from four versions of a text, orthogonally varying local and global cohesion.
With the development of text classification, some researchers start to propose a text classification system based on synonym merging to improve the accuracy of classification.
To overcome these limitations, we propose a text mining framework utilizing online customer reviews to investigate customer satisfaction toward public transport services.
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In this work, we propose a text-mining platform, known as the Co-occurrence Interaction Nexus (CoIN), to distill the entity co-occurrence information from literature and to measure the relationships between entities using a networking approach.
In 2001, the commission proposed a text for a law that would allow for the creation of a community patent.
"When we began working together I proposed a text that I thought could speak of the condition of Roma today.
The work in [19] proposed a text feature selection method based on "TongYiCi Cilin" to reduce data's feature dimensions while ensuring data integrity and classification accuracy.
Zhang et al. [26] proposed a text classifier, image classifier, and an algorithm that fused the two-classifier results to detect phishing web page detection and they concluded that fusion outperformed the performance of individual classifiers.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com