textacy is a Python library for performing higher-level natural language processing (NLP) tasks, built on the high-performance spaCy library that has tokenization, part-of-speech tagging, dependency parsing, etc. offloaded to another library, textacy focuses on tasks facilitated by the ready availability of tokenized, POS-tagged, and parsed text.
Customer Reviews
Shilpa M.
Advanced user of textacytextacy is build over spaCy and provides algorithms that support the Natural Language Processing tasks that are required around spaCy. spaCy contains algorithms for code NLP tasks where as textacy contains algorithms like cleaning text, streaming, storing text, adding meta information to text document and many more.
The documentation is very simple and no details are mentioned for any of the APIs. Also some of the algorithms are not optimised and so I prefer nltk library over it for some of the tasks.
textacy works only for spaCy and not for all as it is built on top of it. If you want a general purpose library go for famous nltk library it provides all the algorithms you will need but you are a spaCy user don't go for anything else as these both works great together.
We at TechDynasty perform different NLP tasks using spaCy where we need some tool that can easy the tasks required before and after it. textacy is the best solution we found out for the purpose.
