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