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
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TextNetTopics Pro, a topic model-based text classification for short text by integration of semantic and document-topic distribution information [PDF]
Frontiers in Genetics, 2023 With the exponential growth in the daily publication of scientific articles, automatic classification and categorization can assist in assigning articles to a predefined category.
Daniel Voskergian +3 more
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Short Text Clustering Algorithms, Application and Challenges: A Survey [PDF]
Applied Sciences, 2022 The number of online documents has rapidly grown, and with the expansion of the Web, document analysis, or text analysis, has become an essential task for preparing, storing, visualizing and mining documents.
Majid Hameed Ahmed +3 more
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Using Topic Modeling Methods for Short-Text Data: A Comparative Analysis [PDF]
Frontiers in Artificial Intelligence, 2020 With the growth of online social network platforms and applications, large amounts of textual user-generated content are created daily in the form of comments, reviews, and short-text messages.
Rania Albalawi +2 more
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Automatic Coding of Short Text Responses via Clustering in Educational Assessment. [PDF]
Educ Psychol Meas, 2016 Automatic coding of short text responses opens new doors in assessment. We implemented and integrated baseline methods of natural language processing and statistical modelling by means of software components that are available under open licenses.
Zehner F, Sälzer C, Goldhammer F.
europepmc +2 more sources
Efficient Long-Text Understanding with Short-Text Models
Transactions of the Association for Computational Linguistics, 2023 Transformer-based pretrained language models (LMs) are ubiquitous across natural language understanding, but cannot be applied to long sequences such as stories, scientific articles, and long documents due to their quadratic complexity. While a myriad of
Maor Ivgi, Uri Shaham, Jonathan Berant
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Learning-based short text compression using BERT models [PDF]
PeerJ Computer ScienceLearning-based data compression methods have gained significant attention in recent years. Although these methods achieve higher compression ratios compared to traditional techniques, their slow processing times make them less suitable for compressing ...
Emir Öztürk, Altan Mesut
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Medical short text classification via Soft Prompt-tuning [PDF]
Frontiers in MedicineIn recent decades, medical short texts, such as medical conversations and online medical inquiries, have garnered significant attention and research.
Xiao Xiao +4 more
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A Hybrid Model with New Word Weighting for Fast Filtering Spam Short Texts
Sensors, 2023 Short message services (SMS), microblogging tools, instant message apps, and commercial websites produce numerous short text messages every day. These short text messages are usually guaranteed to reach mass audience with low cost.
Tian Xia +3 more
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A Pitman-Yor Process Self-Aggregated Topic Model for Short Texts of Social Media
IEEE Access, 2021 In recent years, with the rapid growth of social media, short texts have been very prevalent on the internet. Due to the limited length of each short text, word co-occurrence information in this type of documents is sparse.
Yue Niu, Hongjie Zhang, Jing Li
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