Text Mining

Performing exploratory data analysis on textual data, including obtaining frequent words, chapter lengths, frequent phrases, named entities, and data visualization through word clouds, bar plots, and histograms.

Implementing feature engineering techniques on textual data, including label encoding, one-hot encoding, Bag of Words (BoW), and TF-IDF, with analysis and comprehension of different approaches to convert text into vectors.