Interactive Assigning of Conference Sessions with Visualization and Topic Modeling

Han, Yu; Wang, Zhenhuang; Chen, Siming; Li, Guozheng; Zhang, Xiao Long; Yuan, Xiaoru

doi:10.1109/pacificvis48177.2020.1027x

Cited by 5 publications

(2 citation statements)

References 12 publications

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“…(2) For all subsequent arrival requests, in order to connect them to the minimum load node, it is necessary to ensure that each allocation threshold is larger than the number of sessions [18]. In addition, considering the continuity and randomness of request arrival, the difference between the allocation threshold and the number of sessions should also be related to the arrival of requests and other factors [19,20].…”

Section: Migration Computing Modelmentioning

confidence: 99%

Video Stream Session Migration Method Using Deep Reinforcement Learning in Cloud Computing Environment

Liu

2021

Wireless Communications and Mobile Computing

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In the resource scheduling of streaming Media Edge Cloud (MEC), in order to balance the cost and load of migration, this paper proposes a video stream session migration method based on deep reinforcement learning in cloud computing environment. First, combined with the current popular OpenFlow technology, a novel MEC architecture is designed, which separates streaming media service processing in application layer from forwarding path optimization in network layer. Second, taking the state information of the system as the attribute feature, the session migration is calculated, and gradient reinforcement learning is combined with in-depth learning and deterministic strategy for video stream session migration to solve the user request access problem. The experimental results show that the method has a better request access effect, can effectively improve the request acceptance rate, and can reduce the migration cost, while shortening the running time.

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Section: Migration Computing Modelmentioning

confidence: 99%

Video Stream Session Migration Method Using Deep Reinforcement Learning in Cloud Computing Environment

Liu

2021

Wireless Communications and Mobile Computing

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“…In the last decade, visualization approaches have been employed in several natural language processing tasks such as text classification [11], [12], topic modeling [13] and sentiment analysis [14], [15]. Recent researches related to the visual exploration of feature spaces of textual data have also been proposed and are discussed next.…”

Section: Related Workmentioning

confidence: 99%

A Comparative Study of Text Document Representation Approaches Using Point Placement-based Visualizations

Carvalho

Borges

2021

Anais Estendidos Da XXXIV Conference on Graphics, Patterns and Images (SIBRAPI Estendido 2021)

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In natural language processing, text representation plays an important role which can affect the performance of language models and machine learning algorithms. Basic vector space models, such as the term frequency-inverse document frequency, became popular approaches to represent text documents. In the last years, approaches based on word embeddings have been proposed to preserve the meaning and semantic relations of words, phrases and texts. In this paper, we focus on studying the influences of different text representations to the quality of the 2D visual spaces (layouts) generated by state-of-art visualizations based on point placement. For that purpose, a visualizationassisted approach is proposed to support users when exploring such representations in classification tasks. Experimental results using two public labeled corpora were conducted to assess the quality of the layouts and to discuss possible relations to the classification performances. The results are promising, indicating that the proposed approach can guide users to understand the relevant patterns of a corpus in each representation.

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EPOQAS: Development of an Event Program Organizer with a Question Answering System

Iio

2021

Advances in Networked-Based Information Systems

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Interactive Assigning of Conference Sessions with Visualization and Topic Modeling

Cited by 5 publications

References 12 publications

Video Stream Session Migration Method Using Deep Reinforcement Learning in Cloud Computing Environment

Video Stream Session Migration Method Using Deep Reinforcement Learning in Cloud Computing Environment

A Comparative Study of Text Document Representation Approaches Using Point Placement-based Visualizations

EPOQAS: Development of an Event Program Organizer with a Question Answering System

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