Results 21 to 30 of about 43,976,399 (299)
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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A Nested Chinese Restaurant Topic Model for Short Texts with Document Embeddings
Applied Sciences, 2021 In recent years, short texts have become a kind of prevalent text on the internet. Due to the short length of each text, conventional topic models for short texts suffer from the sparsity of word co-occurrence information.
Yue Niu, Hongjie Zhang, Jing Li
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Short Text Sentiment Analysis Based on Multi-Channel CNN With Multi-Head Attention Mechanism
IEEE Access, 2021 In view of the limited text features of short texts, features of short texts should be mined from various angles, and multiple sentiment feature combinations should be used to learn the hidden sentiment information. A novel sentiment analysis model based
Yue Feng, Yan Cheng
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Short Text Clustering with Transformers
Computational Linguistics and Intellectual Technologies, 2021 Recent techniques for the task of short text clustering often rely on word embeddings as a transfer learning component. This paper shows that sentence vector representations from Transformers in conjunction with different clustering methods can be successfully applied to address the task. Furthermore, we demonstrate that the algorithm of enhancement of
Leonid Pugachev, Mikhail Burtsev 0001
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Review of Deep Learning for Short Text Sentiment Tendency Analysis
Jisuanji kexue yu tansuo, 2021 Short text sentiment tendency analysis is one of the key research issues in the field of natural language processing. Sentiment tendency analysis is a series of methods, techniques and tools used to detect the semantics of subjective inclination ...
TANG Lingyan, XIONG Congcong, WANG Yuan, ZHOU Yubo, ZHAO Zijian
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Short Text Aspect-Based Sentiment Analysis Based on CNN + BiGRU
Applied Sciences, 2022 This paper describes the construction a short-text aspect-based sentiment analysis method based on Convolutional Neural Network (CNN) and Bidirectional Gating Recurrent Unit (BiGRU).
Ziwen Gao +3 more
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Journal of Computational Literary Studies, 2022 This study contributes to the ongoing discussion on how to operationalize text similarity for the purposes of computational literary studies by defining, justifying theoretically and employing a multi-dimensional text model.
Anton Ehrmanntraut +5 more
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Structure and access : the role of structural factors in text comprehension and information [PDF]
, 1985 In this thesis it is argued that structural factors play an important role in facilitating the access, comprehension, and recall of textual information, especially when the content of the material is unfamiliar to the reader.
O'Malley, C.E, O'Malley, Claire E.
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GLTM: A Global and Local Word Embedding-Based Topic Model for Short Texts
IEEE Access, 2018 Short texts have become a kind of prevalent source of information, and discovering topical information from short text collections is valuable for many applications.
Wenxin Liang +4 more
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MLNet: a multi-level multimodal named entity recognition architecture
Frontiers in Neurorobotics, 2023 In the field of human–computer interaction, accurate identification of talking objects can help robots to accomplish subsequent tasks such as decision-making or recommendation; therefore, object determination is of great interest as a pre-requisite task.
Hanming Zhai +4 more
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