About this Collection:
Natural Language Processing API
About natural language processing APIs
A natural language processing API is a machine learning tool that is pre-trained to do things like evaluating the tone of a given text. Other capabilities of natural language APIs include syntax analysis, entity analysis, and content classification.
An NLP API deciphers the meaning and structure of a text. Using pre-trained natural language models, developers can apply this type of comprehension to the applications they’re working on to extract information and/or better understand customer sentiment and the conversations occurring online about their product or service.
What is natural language processing?
Natural language processing is a key field that lies at the intersection of machine learning, computer science, and linguistics. NLP can trace its origins to the 1950s. At that time, although artificial intelligence was still a nascent subject of study, the famous Turing test and other experiments involving automatic translation gained traction in the scientific and academic communities.
How do natural language processing APIs work?
APIs for natural language processing work via state-of-the-art statistical machine learning. Most require just a few lines of code to run. After training the model, you can apply it to any document or web page and let the program do the heavy lifting.
Who are NLP APIs for?
Developers who want to perform machine translation, language research, news analysis, part-of-speech tagging, noun phrase extraction, document indexing, topic modeling, stemming and lemmatization, sentiment analysis, named entity recognition, or classification can benefit from these APIs.
Why are NLP APIs important?
Natural language processing allows developers to analyze and classify text-based entries at a speed and with a degree of accuracy that humans could never hope to achieve on their own. APIs are integral to the integration of this software into existing systems. Once integrated, the NLP analyses help with everything from understanding customers’ opinions and generating UX insights to cross-comparing invoices to discover the relationship between requests and proofs of payment.
What you can expect from a natural language processing API?
An NLP API will help you save time and money by performing indexing and other related tasks both quickly and efficiently.
Are there examples of free natural language processing APIs?
Open-source NLP APIs are not only free but can also easily be customized. Examples of these open-source APIs for NLP available in Python–the preferred machine learning programming language–include Natural Language Toolkit, SpaCy, Stanford CoreNLP, Gensim, and TextBlob.
Best Natural Language Processing APIs
- Google NLP
- Text Processing
- Text Mining and NLP
- Language Tool
- Text Classification
- Sentiment Analysis
- Topics Extraction
NLP API SDKs
All NLP APIs are supported and made available in multiple developer programming languages and SDKs including:
- Java (Android)
- C# (.NET)
Just select your preference from any API endpoints page.
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