The Pattern library is a multipurpose library capable of handling the following tasks:
- Natural Language Processing: Performing tasks such as tokenization, stemming, POS tagging, sentiment analysis, etc.
- Data Mining: It contains APIs to mine data from sites like Twitter, Facebook, Wikipedia, etc.
- Machine Learning: Contains machine learning models such as SVM, KNN, and perceptron, which can be used for classification, regression, and clustering tasks.
In this article, we will see the first two applications of the Pattern library from the above list. We will explore the use of the Pattern Library for NLP by performing tasks such as tokenization, stemming and sentiment analysis. We will also see how the Pattern library can be used for web mining.