Evaluating topic representations for exploring document collections
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DOI: 10.1002/asi.23574
Abstract: Topic models have been shown to be a useful way of representing the content of large document collections, for example, via visualization interfaces (topic browsers). These systems enable users to explore collections by way of… read more here.
Keywords: image labels; document collections; topic representations; topic ... See more keywords
A scientific research topic trend prediction model based on multi‐LSTM and graph convolutional network
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22846
Abstract: Predicting the development trend of future scientific research not only provides a reference for researchers to understand the development of the discipline, but also provides support for decision‐making and fund allocation for decision‐makers. The continuous… read more here.
Keywords: topic; prediction; scientific research; research ... See more keywords
Current status of cone-beam computed tomography teaching in Brazilian undergraduate endodontic programs - A web-based survey.
Sign Up to like & getrecommendations! Published in 2022 at "Journal of dental education"
DOI: 10.1002/jdd.13123
Abstract: PURPOSES This study aimed to assess the current status of cone-beam computed tomography (CBCT) education in Brazilian undergraduate Endodontic programs. METHODS One hundred program directors were emailed. The questionnaire asked whether the CBCT topic was… read more here.
Keywords: topic; program; status cone; inclusion ... See more keywords
Stream-based live public opinion monitoring approach with adaptive probabilistic topic model
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DOI: 10.1007/s00500-018-3391-7
Abstract: Public opinion monitoring, also known as first story detection, is defined within the topic detection and tracking on a particular Internet news event. Generally, it is used to find news propagation. Traditional method adopts text… read more here.
Keywords: topic; opinion monitoring; probabilistic topic; public opinion ... See more keywords
User-aware topic modeling of online reviews
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DOI: 10.1007/s00530-017-0557-6
Abstract: The online reviews are one type of social media which are opinions generated by the users to comment on some special items. Since the sentiments are dependent on topics, probabilistic topic models have been widely… read more here.
Keywords: user; online reviews; sentiment; user aware ... See more keywords
Discovering topic structures of a temporally evolving document corpus
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DOI: 10.1007/s10115-017-1095-4
Abstract: In this paper we describe a novel framework for the discovery of the topical content of a data corpus, and the tracking of its complex structural changes across the temporal dimension. In contrast to previous… read more here.
Keywords: topic structures; structures temporally; corpus; discovering topic ... See more keywords
Hot topic prediction considering influence and expertise in social media
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DOI: 10.1007/s10660-018-09327-2
Abstract: The hot topic detection designed to identify the recent issues and trends employs the analysis of real-time social media activities. The existing schemes suffer from low precision because they focus on keyword occurrence frequency in… read more here.
Keywords: hot topic; topic prediction; influence expertise; social media ... See more keywords
A Robust User Sentiment Biterm Topic Mixture Model Based on User Aggregation Strategy to Avoid Data Sparsity for Short Text
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Medical Systems"
DOI: 10.1007/s10916-019-1225-5
Abstract: Sentiment analysis is a process of computationally finding the opinions that are expressed in a short text or a feedback by a writer towards a particular topic, product, service. The short piece of review from… read more here.
Keywords: robust user; sentiment; model; text ... See more keywords
Collective topical PageRank: a model to evaluate the topic-dependent academic impact of scientific papers
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DOI: 10.1007/s11192-017-2626-1
Abstract: With the explosive growth of academic writing, it is difficult for researchers to find significant papers in their area of interest. In this paper, we propose a pipeline model, named collective topical PageRank, to evaluate… read more here.
Keywords: topic dependent; model; dependent academic; academic impact ... See more keywords
Personal research idea recommendation using research trends and a hierarchical topic model
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DOI: 10.1007/s11192-019-03258-x
Abstract: In the era of rapid technological advance, it is an important task for all researchers to keep up with trends when performing research. How to efficiently find suitable research topics while the number of papers… read more here.
Keywords: research ideas; recommendation; research; research idea ... See more keywords
Topic modeling in marketing: recent advances and research opportunities
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DOI: 10.1007/s11573-018-0915-7
Abstract: Using a probabilistic approach for exploring latent patterns in high-dimensional co-occurrence data, topic models offer researchers a flexible and open framework for soft-clustering large data sets. In recent years, there has been a growing interest… read more here.
Keywords: research; topic models; modeling marketing; topic modeling ... See more keywords