Results 1 to 10 of about 44,902,161 (285)
Six-Granularity Based Chinese Short Text Classification
Short text classification is an important task in Natural Language Processing (NLP). The classification result for Chinese short text is always not ideal due to the sparsity problem of them.
Xinjie Sun, Zhifang Liu, Xingying Huo
doaj +4 more sources
Medical short text classification via Soft Prompt-tuning [PDF]
In recent decades, medical short texts, such as medical conversations and online medical inquiries, have garnered significant attention and research.
Xiao Xiao +4 more
doaj +2 more sources
Investigating Multi-Level Semantic Extraction with Squash Capsules for Short Text Classification [PDF]
At present, short text classification is a hot topic in the area of natural language processing. Due to the sparseness and irregularity of short text, the task of short text classification still faces great challenges.
Jing Li, Dezheng Zhang, Aziguli Wulamu
doaj +2 more sources
Short text classification approach to identify child sexual exploitation material [PDF]
Producing or sharing Child Sexual Exploitation Material (CSEM) is a severe crime that Law Enforcement Agencies (LEAs) fight daily. When the LEA seizes a computer from a potential producer or consumer of the CSEM, it analyzes the storage devices of the ...
MHD Wesam Al-Nabki +3 more
doaj +2 more sources
Short Text Classification Using Contextual Analysis
Micro blogging tools provide a real time service for the public to express opinions, to broadcast news and information and offer an opportunity to comment and respond to such output. Word usage in social media is continually evolving.
Sami Al Sulaimani, Andrew Starkey
doaj +4 more sources
With the wide spread of short texts through social media platforms, there has become a growing need for effective methods for short-text classification.
Iyad Alagha
doaj +3 more sources
A Hybrid Classification Method via Character Embedding in Chinese Short Text With Few Words
Last decades have witnessed the significance development of research in short text classification. However, most existing methods only focus on the text which contained dozens of words like Twitter or MicroBlog, but not take the short text with few words
Yi Zhu +4 more
doaj +3 more sources
Study on Short Text Classification with Imperfect Labels [PDF]
Short text classification techniques have been widely studied.When these techniques are applied to domain short text forproduction,as textual data accumulates,people often encounter problems mainly in two aspects:the imperfect labels and mistakenly ...
LIANG Haowei, WANG Shi, CAO Cungen
doaj +1 more source
Evaluation of Naïve Bayes Classification in Arabic Short Text Classification
In the last few years, and due to the vast widespread of social media applications, texts have become more important and get more attention. Since texts, in general, are carrying a lot of information that can be extracted and analyzed.
Mohammed Fadhil Ibrahim +2 more
doaj +1 more source
Chinese Short Text Classification Algorithm Based on BERT Model [PDF]
The existing Chinese short text classification algorithms are faced with sparse features,informal words and massive data.To address the problems,this paper proposes a Chinese short text classification algorithm based on the Bidirectional Encoder ...
DUAN Dandan, TANG Jiashan, WEN Yong, YUAN Kehai
doaj +1 more source

