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Exploring the law of text geographic information
Textual geographic information is indispensable and heavily relied upon in practical applications.
Will Sentiment Analysis Need Subculture? A New Data Augmentation Approach
The renowned proverb that "The pen is mightier than the sword" underscores the formidable influence wielded by text expressions in shaping sentiments.
A new hazard event classification model via deep learning and multifractal
Then, a new multifractal analysis method termed HmF-DFA is proposed to win HaE fractal series by analyzing HaE time series.
Yes, DLGM! A novel hierarchical model for hazard classification
In this paper, we propose a novel model termed DLGM via deep learning for hazard classification.
A Zipf's Law-based Text Generation Approach for Addressing Imbalance in Entity Extraction
The Zipf's Law emerges as a well-suited adoption, and to transition from words to entities, words within the documents are classified as common and rare ones.
A New Multifractal-based Deep Learning Model for Text Mining
In this world full of uncertainty, where the fabric of existence weaves patterns of complexity, multifractal emerges as beacons of insight, illuminating them.
Chinese Named Entity Recognition
named-entity-recognition
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