Results 51 to 60 of about 787,502 (308)
Search-based short-text classification
Dianzi Jishu Yingyong, 2018 For short-text classification in case the traditional classification algorithm does not work well, this paper proposes a search-based method employing NaiveBayes.
Kang Wei +4 more
doaj +1 more source
Six-Granularity Based Chinese Short Text Classification
IEEE Access, 2023 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 +1 more source
, 2017 Recent increases in the use and availability of short messages have created opportunities to harvest vast amounts of information through machine-based classification. However, traditional classification methods have failed to yield accuracies comparable to classification accuracies on longer texts.
McCartney, Austin +2 more
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Advanced Hierarchical Topic Labeling for Short Text
IEEE Access, 2023 Hierarchical Topic Modeling is the probabilistic approach for discovering latent topics distributed hierarchically among the documents. The distributed topics are represented with the respective topic terms.
Paras Tiwari +3 more
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Trending Topic Extraction Using Topic Models and Biterm Discrimination
CLEI Electronic Journal, 2017 : Mining and exploitation of data in social networks has been the focus of many efforts, but despite the resources and energy invested, still remains a lot for doing given its complexity, which requires the adoption of a multidisciplinary approach ...
Minor Eduardo Quesada Grosso +2 more
doaj +1 more source
Fast Clustering of Short Text Streams Using Efficient Cluster Indexing and Dynamic Similarity Thresholds [PDF]
arXiv, 2021 Short text stream clustering is an important but challenging task since massive amount of text is generated from different sources such as micro-blogging, question-answering, and social news aggregation websites. One of the major challenges of clustering such massive amount of text is to cluster them within a reasonable amount of time.
arxiv
Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification [PDF]
arXiv, 2021 Short text classification is a fundamental task in natural language processing. It is hard due to the lack of context information and labeled data in practice. In this paper, we propose a new method called SHINE, which is based on graph neural network (GNN), for short text classification.
arxiv
Predicting Self-Reported Proactive Personality Classification With Weibo Text and Short Answer Text
IEEE Access, 2021 Personality assessments are at present nearly entirely dependent on self-reports, and machine learning methods have been rarely applied to this field.
Peng Wang +7 more
doaj +1 more source
Automatic Conditional Generation of Personalized Social Media Short Texts [PDF]
In: Geng X., Kang BH. (eds) PRICAI 2018: Trends in Artificial
Intelligence, 2019 Automatic text generation has received much attention owing to rapid development of deep neural networks. In general, text generation systems based on statistical language model will not consider anthropomorphic characteristics, which results in machine-like generated texts.
arxiv +1 more source
The Short Vowels in Islamic Texts
American Journal of Islam and Society, 1996 lqra'! Read! Proclaim!Vowels (tahrik) are the life of the Arabic language; they breathe inits spirit (ruh). Vowels are the dynamic of the word; they regulate itsmeaning and determine for the verb its active or passive voice. Vowelsare nonlocal; "a speech sound produced without occluding, diverting, orconstructing the flow of air from the lungs," as ...
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