Results 31 to 40 of about 3,873,151 (300)
A topic modeling algorithm for microblogs [PDF]
, 2022 openI topic model nascono come strumenti per ottenere una breve descrizione dei documenti di una collezione e allo stesso tempo preservare le relazioni statistiche essenziali tra le parole contenute nei testi; le rappresentazioni compatte di documenti ...
TOTO, GIOVANNI
core
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.
Georgios Balikas +2 more
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A novel multiple kernel fuzzy topic modeling technique for biomedical data [PDF]
, 2022 Background: Text mining in the biomedical field has received much attention and regarded as the important research area since a lot of biomedical data is in text format.
Hussain, Amir +9 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
doaj +1 more source
Probabilistic Topic Models [PDF]
IEEE Signal Processing Magazine, 2010 In this article, we review probabilistic topic models: graphical models that can be used to summarize a large collection of documents with a smaller number of distributions over words. Those distributions are called "topics" because, when fit to data, they capture the salient themes that run through the collection.
David M. Blei +2 more
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A Topic Coverage Approach to Evaluation of Topic Models [PDF]
IEEE Access, 2021 Topic models are widely used unsupervised models capable of learning topics - weighted lists of words and documents - from large collections of text documents. When topic models are used for discovery of topics in text collections, a question that arises naturally is how well the model-induced topics correspond to topics of interest to the analyst.
Damir Korencic +3 more
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Topic Modeling Genre: An Exploration of French Classical and Enlightenment Drama [PDF]
, 2015 The concept of literary genre is a highly complex one: not only are different genres frequently defined on several, but not necessarily the same levels of description, but consideration of genres as cognitive, social, or scholarly constructs with a rich ...
Schöch, Christof +1 more
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Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022 We propose a new problem called coordinated topic modeling that imitates human behavior while describing a text corpus. It considers a set of well-defined topics like the axes of a semantic space with a reference representation. It then uses the axes to model a corpus for easily understandable representation. This new task helps represent a corpus more
Pritom Saha Akash +2 more
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Identify Topic Relations in Scientific Literature Using Topic Modeling
, 2020 IEEE Over the past five years, topic models have been applied to bibliometrics research as an efficient tool for discovering latent and potentially useful content.
Wang, X +7 more
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imamaAlishova/Topic-modeling: Topic_modeling
, 2022 No description ...
imamaAlishova
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