Search Results - Topic model

Objectives. This work is devoted to the topic modeling of short messages received through social networks or in another way in the form of a series of short messages. This need arises in public relations systems in state and municipal structures, in public opinion polling centers, as well as in cust...

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With the development of large language model technology, the application of retrieval enhancement in the field of education has become one of the hot research directions, with the aim of alleviating the hallucination problem of large language models and improving the accuracy of large language model...

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The application of topic modeling to short texts is beset by challenges such as data sparsity and an absence of contextual information. Traditional research methods tend to prioritise high-attention and popular topics, frequently overlooking the identification of emerging topics. Consequently, subje...

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The growing use of social media data has opened new avenues for understanding user perceptions and operational inefficiencies in transportation systems. Among the most widely adopted analytical approaches for extracting insights from these data are sentiment analysis and topic modeling, which enable...

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This study examines the landscape of Russian International Relations (IR) scholarship, offering a quantitative analysis of thematic trends in Russian IR publications using data from the OpenAlex bibliographic database. We employed Structural Topic Modeling (STM) on 13,705 articles published between J...

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If the direct questioning in surveys on sensitive variables leads to non-ignorable nonresponse and untruthful answers, a considerably biased estimator might be the consequence. For such cases, the higher complexity of the indirect questioning designs such as the nonrandomized response models may pa...

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The gig economy, driven by flexible and platform-based work, is reshaping labor markets and employment norms. Understanding public perceptions of this shift is critical for promoting social good and informing equitable policy. This study employs big data analytics and Latent Dirichlet Allocation (LD...

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As online education technologies rapidly evolve, understanding the dynamics of user acceptance has become a central concern. This study aims to map the intellectual and thematic landscape of Technology Acceptance Model (TAM) research within online education, highlighting key patterns and emerging tr...

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IntroductionThis paper addresses the growing intersection of machine learning (ML) and psychotherapy by developing a classification model for analyzing topics in therapist remarks. Understanding recurring language patterns in therapist communication can enhance clinical practice, supervision, and tr...

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Financial Well-being (FW) is defined as an individual’s perception of their ability to meet current and future financial obligations and expectations. This paper aims to extract relevant topics from the existing literature on FW by applying text analysis to the documents extracted from the Scopus us...

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This study presents WordMap, an integrated text mining application developed to enhance the efficiency and usability of text analysis over a network. As unstructured text data continues to grow across domains, effective tools for segmentation and topic modeling have become increasingly essential for...

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The accelerating pace of digital life has intensified psychological strain, increasing the demand for accessible and systematized emotional support tools. Relaxing video games—defined as low-pressure, non-competitive games designed to promote calm and emotional relief—offer immersive environments th...

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Graph Convolutional Network (GCN)-based recommendation systems (RSs) have recently gained popularity for their ability to improve recommendation accuracy by utilizing neighborhood information in user-item interaction graphs. Despite their success, GCN-based systems still face two major challenges, w...

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Analyzing motion patterns in traffic videos can be exploited directly to generate high-level descriptions of the video contents. Such descriptions may further be employed in different traffic applications such as traffic phase detection and abnormal event detection. One of the most recent and succes...

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In the field of electrical power material management, it is paramount that users receive accurate recommendations regarding the electrical power materials they require. Recently, a growing number of studies have been dedicated to graph neural network (GNN)-based recommendation systems due to their a...

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Purpose: to develop a model of the early stage of retinal neurodegeneration via an intravitreal injection of the dopaminergic neurotoxin. Material and methods. The experiment was carried out on 20 Chinchilla rabbits. The experimental groups received intravitreal injection of 0.1 ml of 6-hydroxydopam...

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