Text Mining and Analytics: Natural Language Processing Libraries

There are many tools available in the Natural Language Processing (NLP) tool landscape. With single tools you can do a lot of things faster. However using multiple state-of-art tools together you can solve many problems and extract multiple patterns from your data. In this course you will discover many important tools available for NLP such as polyglot Genism TextBlob and CoreNLP. Explore their benefits and how they stand against each other for performing any NLP task. Learn to implement core linguistic features like POS tags NER and morphological analysis using the tools discussed earlier in the course. Discover defining features of each tool such as multiple language support language detection topic models sentiment extractions part of speech (POS) driven patterns and transliterations. Upon completion of this course you will feel confident with the Python tool ecosystem for NLP and will be able to perform state-of-art pattern extraction on any kind of text data.