topic modeling

Topic Modeling by Group Using Deep Learning in Python Topics by category using the Python package BERTopic on Airbnb reviews

Topic Modeling by Group Using Deep Learning in Python

Building one general topic model is not enough in some cases, especially when there are different categories with various properties and characteristics. For example, a commercial bank may be interested in topic models built for different lines of products such as credit cards, checking accounts, or student loan. A hotel chain may be interested in …

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Topic Modeling with Deep Learning Using Python BERTopic Transformer-based NLP topic modeling using the Python package BERTopic: modeling, prediction, and visualization

Topic Modeling with Deep Learning Using Python BERTopic

BERTopic is a topic modeling python library that uses the combination of transformer embeddings and clustering model algorithms to identify topics in NLP (Natual Language Processing). In this tutorial, we will talk about: This is an introduction to the BERTopic model. To learn how to optimize the BERTopic model, please check out Hyperparameter Tuning for BERTopic …

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Hyperparameter Tuning for BERTopic Model in Python Hyperparameter optimization for Transformer-based NLP topic modeling using the Python package BERTopic

Hyperparameter Tuning for BERTopic Model in Python

Hyperparameter tuning is an important optimization step for building a good topic model. BERTopic is a topic modeling python library that combines transformer embeddings and clustering model algorithms to identify topics in NLP (Natual Language Processing). In this tutorial, we will talk about the following: Please check out my previous tutorial Topic Modeling with Deep …

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Hierarchical Topic Model for Airbnb Reviews Extracting topics and sub-topics hierarchical structure in Airbnb reviews using the Python package BERTopic

Hierarchical Topic Model for Airbnb Reviews

Hierarchical topic models are the models that utilize the semantic hierarchy to identify topics and sub-topics for a collection of text. In this tutorial, we will use Airbnb review data to illustrate the following: The Python package used for the hierarchical model in this tutorial is BERTopic. For more details about using this package, please …

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Zero-shot Topic Modeling with Deep Learning Using Python Transformer-based zero-shot text classification model from Hugging Face for predicting NLP topic classes

Zero-shot Topic Modeling with Deep Learning Using Python

Zero-shot learning (ZSL) refers to building a model and using it to make predictions on the tasks that the model was not trained to do. For example, if we would like to classify millions of news articles into different topics, building a traditional multi-class classification model would be very costly because manually labeling the news …

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