Results 21 to 30 of about 23,589,100 (342)
Overlapping Community Detection in Weighted Temporal Text Networks
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
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
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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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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Language Model-Driven Topic Clustering and Summarization for News Articles
Topic models have been widely utilized in Topic Detection and Tracking tasks, which aim to detect, track, and describe topics from a stream of broadcast news reports.
Peng Yang, Wenhan Li, Guangzhen Zhao
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Evidence map: topics, trends, and policy in the energy transitions literature
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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Given the growing recognition of the role of teachers as agents in 21st century learning environments, this proposed study builds on our work on ‘Teacher Design Knowledge’ (TDK) as critical capabilities for teachers in designing and implementing innovative curriculum, pedagogy, and technology through researcher-practitioner collaboration (SSHRC Insight
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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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Improved Parsimonious Topic Modeling Based on the Bayesian Information Criterion
In a previous work, a parsimonious topic model (PTM) was proposed for text corpora. In that work, unlike LDA, the modeling determined a subset of salient words for each topic, with topic-specific probabilities, with the rest of the words in the ...
Hang Wang, David Miller
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