Results 41 to 50 of about 975,825 (180)
On-line Evolutionary Sentiment Topic Analysis Modeling
International Journal of Computational Intelligence Systems, 2018 As the rapid booming of reviews, a valid sentiment analysis model will significantly boost the review recommendation system’s capability, and present more constructive information for consumers.
YongHeng Chen +3 more
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Discriminative Relational Topic Models [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015 Many scientific and engineering fields involve analyzing network data. For document networks, relational topic models (RTMs) provide a probabilistic generative process to describe both the link structure and document contents, and they have shown promise on predicting network structures and discovering latent topic representations.
Chen, Ning +3 more
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Systematic Literature Review of Topic Labeling
IEEE AccessThe rapid growth of textual data on the web has led researchers to develop methods in Natural Language Processing (NLP) to process, understand, and identify topics.
Salma Mekaoui +3 more
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Mining Social Entrepreneurship Strategies Using Topic Modeling. [PDF]
PLoS ONE, 2016 Despite the burgeoning research on social entrepreneurship (SE), SE strategies remain poorly understood. Drawing on extant research on the social activism and social change, empowerment and SE models, we explore, classify and validate the strategies used
Yanto Chandra +2 more
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Ordering-sensitive and Semantic-aware Topic Modeling
, 2015 Topic modeling of textual corpora is an important and challenging problem. In most previous work, the "bag-of-words" assumption is usually made which ignores the ordering of words.
Cui, Tianyi, Tu, Wenting, Yang, Min
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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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Memory-Efficient Topic Modeling [PDF]
, 2012 As one of the simplest probabilistic topic modeling techniques, latent Dirichlet allocation (LDA) has found many important applications in text mining, computer vision and computational biology.
Cao, Xiao-Qin, Liu, Zhi-Qiang, Zeng, Jia
core
Topic Modeling Based Multi-modal Depression Detection
, 2017 Major depressive disorder is a common mental disorder that affects almost 7% of the adult U.S. population. The 2017 Audio/Visual Emotion Challenge (AVEC) asks participants to build a model to predict depression levels based on the audio, video, and text ...
Gong, Yuan, Poellabauer, Christian
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When Topic Models Disagree [PDF]
Proceedings of the 24th International Conference on World Wide Web, 2015 We explore how the unsupervised extraction of topic-related keywords benefits from combining multiple topic models. We show that averaging multiple topic models, inferred from different corpora, leads to more accurate keyphrases than when using a single topic model and other state-of-the-art techniques. The experiments confirm the intuitive idea that a
Sterckx, Lucas +3 more
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User–Topic Modeling for Online Community Analysis
Applied Sciences, 2020 Analyzing user behavior in online spaces is an important task. This paper is dedicated to analyzing the online community in terms of topics. We present a user–topic model based on the latent Dirichlet allocation (LDA), as an application of topic modeling
Sung-Hwan Kim, Hwan-Gue Cho
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