Topic Modeling with Non Negative Matrix Factorization

A concise guide to uncovering hidden themes in text data.

Libraries Used 📚

NLTK: For text preprocessing
TfidfVectorizer: To convert text to numerical features
Non Negative Matrix Factorization: For topic modeling

Data Preprocessing 🧹

Clean the Text with TfidfVectorizer

Remove stop words
Tokenize text
Lemmatize/Stem words
Convert to lowercase

Feature Extraction with TfidfVectorizer

Create document-term matrix

Model Training 🧠

Initialize NMF

Set number of topics
Tune hyperparameters

Fit the Model

Train on preprocessed data