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Industrial-Strength Natural Language Processing in Python
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What is SpaCy?

It is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products. It comes with pre-trained statistical models and word vectors, and currently supports tokenization for 49+ languages.
SpaCy is a tool in the NLP / Sentiment Analysis category of a tech stack.

Who uses SpaCy?

15 companies reportedly use SpaCy in their tech stacks, including Compile Inc, Raisup, and

12 developers on StackShare have stated that they use SpaCy.

Why developers like SpaCy?

Here’s a list of reasons why companies and developers use SpaCy
Top Reasons

SpaCy Alternatives & Comparisons

What are some alternatives to SpaCy?
It is a suite of libraries and programs for symbolic and statistical natural language processing for English written in the Python programming language.
It is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. Target audience is the natural language processing (NLP) and information retrieval (IR) community.
rasa NLU
rasa NLU (Natural Language Understanding) is a tool for intent classification and entity extraction. You can think of rasa NLU as a set of high level APIs for building your own language parser using existing NLP and ML libraries.
Google Cloud Natural Language API
You can use it to extract information about people, places, events and much more, mentioned in text documents, news articles or blog posts. You can use it to understand sentiment about your product on social media or parse intent from customer conversations happening in a call center or a messaging app. You can analyze text uploaded in your request or integrate with your document storage on Google Cloud Storage.
Amazon Comprehend
Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to discover insights from text. Amazon Comprehend provides Keyphrase Extraction, Sentiment Analysis, Entity Recognition, Topic Modeling, and Language Detection APIs so you can easily integrate natural language processing into your applications.
See all alternatives

SpaCy's Followers
8 developers follow SpaCy to keep up with related blogs and decisions.
Igor Brigadir
Shripad Deshmukh
Saumay Agrawal
Mohamadjavad (MJ) Bahmani
hamed mansoori
Kit Kuksenok