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Tag: topic

  • Topic Modeling Techniques for 2026: Seeded Modeling, LLM Integration, and Data Summaries

    Topic Modeling Techniques for 2026: Seeded Modeling, LLM Integration, and Data Summaries Seeded topic modeling, integration with LLMs, and training on summarized data are the fresh parts of the NLP toolkit. The post Topic Modeling Techniques for 2026: Seeded Modeling, LLM Integration, and Data Summaries appeared first on Towards Data Science. Petr Koráb Go to…

  • Advanced Topic Modeling with LLMs

    Advanced Topic Modeling with LLMs A deep dive into topic modeling by leveraging representation models and generative AI with BERTopic The post Advanced Topic Modeling with LLMs appeared first on Towards Data Science. Alex Davis Go to original source

  • Topic Model Labelling with LLMs

    Topic Model Labelling with LLMs Python tutorial for reproducible labeling of cutting-edge topic models with GPT4-o-mini. The post Topic Model Labelling with LLMs appeared first on Towards Data Science. Petr Koráb Go to original source

  • A Practical Guide to BERTopic for Transformer-Based Topic Modeling

    A Practical Guide to BERTopic for Transformer-Based Topic Modeling Topic modeling has a wide range of use cases in the natural language processing (NLP) domain, such as document tagging, survey analysis, and content organization. It falls under the realm of unsupervised learning technique, making it a very cost-effective technique that reduces the resources required to…

  • Choose the Right One: Evaluating Topic Models for Business Intelligence

    Choose the Right One: Evaluating Topic Models for Business Intelligence Topic models are used in businesses to classify brand-related text datasets (such as product and site reviews, surveys, and social media comments) and to track how customer satisfaction metrics change over time. There is a myriad of recent topic models one can choose from: the…

  • Poisson-Process Topic Model for Integrating Knowledge from Pre-trained Language Models

    Poisson-Process Topic Model for Integrating Knowledge from Pre-trained Language Models arXiv:2503.17809v1 Announce Type: new Abstract: Topic modeling is traditionally applied to word counts without accounting for the context in which words appear. Recent advancements in large language models (LLMs) offer contextualized word embeddings, which capture deeper meaning and relationships between words. We aim to leverage…

  • Topic Modelling in Business Intelligence: FASTopic and BERTopic in Code

    Topic Modelling in Business Intelligence: FASTopic and BERTopic in Code A comparison of two cutting-edge dynamic topic models solving consumer complaints classification exercise Continue reading on Towards Data Science » Petr Korab Go to original source

  • Contextual Topic Modelling in Chinese Corpora with KeyNMF

    Contextual Topic Modelling in Chinese Corpora with KeyNMF A comprehensive guide on getting the most out of your Chinese topic models, from preprocessing to interpretation. With our recent paper on discourse dynamics in European Chinese diaspora media, our team has tapped into an almost unanimous frustration with the quality of topic modelling approaches when applied…