Results 21 to 30 of about 810,432 (208)
Detecting Community Evolution by Utilizing Individual Temporal Semantics in Social Networks
IEEE Access, 2023 Social networks are becoming increasingly popular and significant. One of the most distinctive features of these networks is their dynamic nature, which means that they change over time.
Feng Wang, Dingbo Hou, Hao Yan
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Overlapping Community Detection in Weighted Temporal Text Networks
IEEE Access, 2020 Network is a powerful language to represent relational data. One way to understand network is to analyze groups of nodes which share same properties or functions. The task of discovering such groups is known as community detection.
Rui Dong, Juanjuan Yang, Yonggang Chen
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BiTTM: A Core Biterms-Based Topic Model for Targeted Analysis
Applied Sciences, 2021 While most of the existing topic models perform a full analysis on a set of documents to discover all topics, it is noticed recently that in many situations users are interested in fine-grained topics related to some specific aspects only.
Jiamiao Wang +3 more
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Mining Review Unit Model for Online Review Analysis
IEEE Access, 2020 An increasing number of people are choosing to shop online; hence, online reviews are an increasingly influential factor in consumer purchasing decisions.
Qingxi Peng +3 more
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Frontiers in Environmental Science, 2022 Investor sentiment has always been an active research topic in finance. In recent years, text mining, machine learning and sentiment analysis have been very fruitful, and researchers can extract valuable information from social platforms more promptly ...
Meilan Chen +3 more
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The Evolution of Topic Modeling [PDF]
ACM Computing Surveys, 2022 Topic models have been applied to everything from books to newspapers to social media posts in an effort to identify the most prevalent themes of a text corpus. We provide an in-depth analysis of unsupervised topic models from their inception to today. We trace the origins of different types of contemporary topic models, beginning in the 1990s, and we ...
Rob Churchill, Lisa Singh
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Evidence map: topics, trends, and policy in the energy transitions literature
Environmental Research Letters, 2020 We develop an evidence map of the academic research on energy transitions (ETs) with a focus on what that literature says about public policy for addressing climate change.
Jiaqi Lu, Gregory F Nemet
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ISPRS International Journal of Geo-Information, 2021 Online public opinion reflects social conditions and public attitudes regarding special social events. Therefore, analyzing the temporal and spatial distributions of online public opinion topics can contribute to understanding issues of public concern ...
Qin Liang, Chunchun Hu, Si Chen
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Probabilistic Topic Models [PDF]
IEEE Signal Processing Magazine, 2010 In this article, we review probabilistic topic models: graphical models that can be used to summarize a large collection of documents with a smaller number of distributions over words. Those distributions are called "topics" because, when fit to data, they capture the salient themes that run through the collection.
David M. Blei +2 more
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