Results 11 to 20 of about 3,238,976 (181)
ATM: Adversarial-neural Topic Model [PDF]
Information Processing & Management, 2019 Published at the journal Information Processing & ...
Wang, Rui, Zhou, Deyu, He, Yulan
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A Topic Modeling Comparison Between LDA, NMF, Top2Vec, and BERTopic to Demystify Twitter Posts
Frontiers in Sociology, 2022 The richness of social media data has opened a new avenue for social science research to gain insights into human behaviors and experiences. In particular, emerging data-driven approaches relying on topic models provide entirely new perspectives on ...
Roman Egger, Joanne Yu
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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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, 2012 We introduce the topical relevance model (TRLM) as a generalization of the standard relevance model (RLM). The TRLM alleviates the limitations of the RLM by exploiting the multi-topical structure of pseudo-relevant documents. In TRLM, intra-topical document and query term co-occurrences are favoured, whereas the inter-topical ones are down-weighted ...
Ganguly, Debasis +2 more
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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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Language Model-Driven Topic Clustering and Summarization for News Articles
IEEE Access, 2019 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
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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