Welcome to the Text Mining Stories Blog.
- Networks
- Sentiment Analysis
- Topic Modelling
- Visualization
Topic Model Labelling with Large Language Models
Python tutorial for reproducible labeling of topic models with GPT4-o-mini.
Evaluating Topic Models for Business Intelligence
Python tutorial for evaluating top-notch bigram topic models in customer email classification
BERTopic and FASTopic in Business Intelligence
Comparison of two cutting-edge dynamic topic models in consumer complaints classification
Topic Modelling with BERTopic in Python
Hands-on tutorial on modeling political statements with a state-of-the-art topic model
Contour Plots and Word Embedding Visualisation
Contour plots are simple and very useful graphics for word embedding visualization.
Advanced Visualisations for Text Data Analysis
Explore n-gram word cloud, chord diagram, and a bubble chart, and their implementation in Python
END-to-END Latent Dirichlet Allocation in Python
Practical introduction to LDA modeling with bigram frequencies in Python
Bigram Word Cloud Animates Your Data Stories
Bigram Animated Word Cloud displays a text dataset in an MP4 video
Data Storytelling with Animated Word Clouds
Animated word clouds turn classic word clouds into a dynamic visualization
Animated Word Clouds: Introduction
Python tutorial on preparing animated word clouds that make a word frequency presentation stunning
FinVADER: Sentiment Analysis for Financial Applications
FinVADER is a Python library extending VADER sentiment classifier with financial lexicons
Satisfaction Measurement with Sentiment Analysis
Product reviews are an excellent source of information for qualified management decisions
