Analyzing Text Data

In this chapter, we will cover the following recipes:

• Preprocessing data using tokenization
• Stemming text data
• Converting text to its base form using lemmatization
• Dividing text using chunking
• Building a bag-of-words model
• Building a text classifier
• Identifying the gender of a name
• Analyzing the sentiment of a sentence
• Identifying patterns in text using topic modeling
• Parts of speech tagging with spaCy
• Word2Vec using gensim
• Shallow learning for spam detection