Results 51 to 60 of about 1,143,739 (216)
Topic Modeling for Amharic User Generated Texts
Information, 2021 Topic Modeling is a statistical process, which derives the latent themes from extensive collections of text. Three approaches to topic modeling exist, namely, unsupervised, semi-supervised and supervised. In this work, we develop a supervised topic model
Girma Neshir +2 more
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Sequential Topic Selection Model with Latent Variable for Topic-Grounded Dialogue [PDF]
arXiv, 2022 Recently, topic-grounded dialogue system has attracted significant attention due to its effectiveness in predicting the next topic to yield better responses via the historical context and given topic sequence. However, almost all existing topic prediction solutions focus on only the current conversation and corresponding topic sequence to predict the ...
arxiv
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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Multi-Machine Gaussian Topic Modeling for Predictive Maintenance
IEEE Access, 2021 In this paper, we propose a coherent framework for multi-machine analysis, using a group clustering model, which can be utilized for predictive maintenance (PdM). The framework benefits from the repetitive structure posed by multiple machines and enables
Alexander Karlsson +2 more
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Topic Taxonomy Expansion via Hierarchy-Aware Topic Phrase Generation [PDF]
arXiv, 2022 Topic taxonomies display hierarchical topic structures of a text corpus and provide topical knowledge to enhance various NLP applications. To dynamically incorporate new topic information, several recent studies have tried to expand (or complete) a topic taxonomy by inserting emerging topics identified in a set of new documents.
arxiv
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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BERTopic: Neural topic modeling with a class-based TF-IDF procedure [PDF]
arXiv, 2022 Topic models can be useful tools to discover latent topics in collections of documents. Recent studies have shown the feasibility of approach topic modeling as a clustering task. We present BERTopic, a topic model that extends this process by extracting coherent topic representation through the development of a class-based variation of TF-IDF.
arxiv
Evaluation methods for topic models [PDF]
Proceedings of the 26th Annual International Conference on Machine Learning, 2009 A natural evaluation metric for statistical topic models is the probability of held-out documents given a trained model. While exact computation of this probability is intractable, several estimators for this probability have been used in the topic modeling literature, including the harmonic mean method and empirical likelihood method.
Wallach, Hanna M. +3 more
openaire +4 more sources
TLATR: Automatic Topic Labeling Using Automatic (Domain-Specific) Term Recognition
IEEE Access, 2021 Topic modeling is a probabilistic graphical model for discovering latent topics in text corpora by using multinomial distributions of topics over words. Topic labeling is used to assign meaningful labels for the discovered topics.
Ciprian-Octavian Truica +1 more
doaj +1 more source
Exploring COVID-19–Related Stressors: Topic Modeling Study
Journal of Medical Internet Research, 2022 BackgroundThe COVID-19 pandemic has affected the lives of people globally for over 2 years. Changes in lifestyles due to the pandemic may cause psychosocial stressors for individuals and could lead to mental health problems.
Yue Tong Leung, Farzad Khalvati
doaj +1 more source