In this chapter, we explored text analysis using NLTK and spaCy. The main focus was on text preprocessing, sentiment analysis, and text similarity. The chapter started with text preprocessing tasks such as text normalization, tokenization, removing stopwords, stemming, and lemmatization. We also focused on how to create a word cloud, recognize entities in a given text, and find dependencies among tokens. In later sections, we focused on BoW, TFIDF, sentiment analysis, and text classification.
The next chapter, Chapter 13, Analyzing Image Data, focuses on image processing, basic image processing operations, and face detection using OpenCV. The chapter starts with image color models, and image operations such as drawing on an image, resizing an image, and flipping and blurring an image. In later sections, the focus will be on face detection in a given input image.
