Results 21 to 30 of about 1,143,739 (216)
Topic Modeling for Makerspace Artifact Analysis
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2021 As the making phenomenon becomes more prevalent, diverse, and vast, it becomes increasingly challenging to identify general temporal or spatial trends in types of making endeavors.
David Wilson +2 more
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LDA-Based Topic Modeling Sentiment Analysis Using Topic/Document/Sentence (TDS) Model
Applied Sciences, 2021 Customer reviews on the Internet reflect users’ sentiments about the product, service, and social events. As sentiments can be divided into positive, negative, and neutral forms, sentiment analysis processes identify the polarity of information in the ...
Akhmedov Farkhod +3 more
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Implementation of Dynamic Topic Modeling to Discover Topic Evolution on Customer Reviews
JOIN: Jurnal Online Informatika, 2023 Annotation and analysis of online customer reviews were identified as significant problems in various domains, including business intelligence, marketing, and e-governance.
Valentinus Roby Hananto
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Renormalization Analysis of Topic Models [PDF]
Entropy, 2020 In practice, to build a machine learning model of big data, one needs to tune model parameters. The process of parameter tuning involves extremely time-consuming and computationally expensive grid search. However, the theory of statistical physics provides techniques allowing us to optimize this process. The paper shows that a function of the output of
Sergei Koltcov, Vera Ignatenko
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Topic modeling in natural language texts
Труды Института системного программирования РАН, 2012 Topic modeling is a method for building a model of a collection of text documents. The model is able to determine topics for each of documents. Shifting from term space to space of extracted topics helps resolving synonymy and polysemy of terms. Besides,
Антон Коршунов +1 more
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Introducción a Topic Modeling y MALLET
The Programming Historian en Español, 2018 Esta lección explica qué es topic modeling y por qué podrías querer utilizarlo en tus investigaciones. Luego aprenderás cómo instalar y trabajar con MALLET, una caja de herramientas para procesamiento de lenguajes naturales (PLN) con la que topic ...
Shawn Graham +2 more
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Marketing Insights from Reviews Using Topic Modeling with BERTopic and Deep Clustering Network
Applied Sciences, 2023 The feedback shared by consumers on e-commerce platforms holds immense value in marketing, as it offers insights into their opinions and preferences, which are readily accessible.
Yusung An, Hayoung Oh, Joosik Lee
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On a Topic Model for Sentences
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016 Probabilistic topic models are generative models that describe the content of documents by discovering the latent topics underlying them. However, the structure of the textual input, and for instance the grouping of words in coherent text spans such as sentences, contains much information which is generally lost with these models.
Balikas, Georgios +2 more
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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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Crosslingual Topic Modeling with WikiPDA [PDF]
Proceedings of the Web Conference 2021, 2021 We present Wikipedia-based Polyglot Dirichlet Allocation (WikiPDA), a crosslingual topic model that learns to represent Wikipedia articles written in any language as distributions over a common set of language-independent topics. It leverages the fact that Wikipedia articles link to each other and are mapped to concepts in the Wikidata knowledge base ...
Piccardi, Tiziano, West, Robert
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