Text Analysis API

APIs for developers that analyze and understand natural human text.

November 28, 2017
AWS Marketplace ML and AI page

Twinword API Recognized By Amazon AWS As An Intelligent Solution For App Development

As a leading provider of Natural Language Processing (NLP) solutions, Twinword has been recognized by Amazon AWS as an intelligent solution for application development. Twinword provides out-of-the-box APIs for NLP for your applications and projects that require artificial intelligence. No training data is needed for our APIs to work. Amazon AWS Marketplace […]
November 23, 2017

How To Subscribe To And Consume Twinword Text Analysis APIs

Twinword provides some powerful text-analysis APIs. These natural language processing (NLP) APIs work simply out-of-the-box. This is what makes us unique. You won’t have to deal with training data. If you simply want to know the relationship score between two documents, just make an API call and you got it. Best of […]
September 20, 2017
Text Similarity API Demo Screenshot

Document Similarity Checker API – Compare Between Two Documents

Compare between two documents, articles, paragraphs, sentences and see a score of how closely they are related semantically with Text Similarity API.
November 15, 2016
December 1st, 2016 Pricing Change of Sentiment Analysis and Lemmatizer APIs

Sentiment Analysis API and Lemmatizer API Pricing Change

  For more than 3 years now, Twinword API has been providing two free and unlimited1 APIs. Sentiment Analysis API and Lemmatizer API give developers an easy way to plug in and use text analysis and NLP technologies inside projects via RESTful API. Sadly, all good things come to an end… (but WAIT, it’s not too […]
January 23, 2016
How Machine Learning Works in Mobile Messaging infographic

Machine Learning & Speech Recognition [Infographic]

Through evolution, machine learning has made self-driving car possible, enabled machines to do speech recognition, and effectively optimized our web search experience. Machine learning has grown to be so sophisticated today, that it could even understand human text! The infographic below shows how Skype is using machine learning speech recognition to allow for borderless communication with […]
January 22, 2016
A man at laptop with a thought bubble that reads Should I Build Or Buy Text Analysis Solution For My Business

Build Or Buy Text Analysis Solution

Previously we talked about the importance of text analysis as one of the tool for online marketing. There is no doubt of the valuable information text analysis could give us, but more often, the question enterprises asked themselves is: Should We Build or Buy Text Analysis Solution?  Based on a few determining factors […]
January 15, 2016
A tablet computer on a table

APIs For Education Apps

Albert Einstein once said that “Intellectual growth should commence at birth and cease only at death”. As we move towards a knowledge-based society, the importance of education has also increased immensely. Education has gone from offline to online, from classroom learning to e-learning, where physical location restrictions are no longer an excuse for illiteracy. […]
January 14, 2016
RapidMiner Marketplace Updates and Extensions Menu Screenshot

Using RapidMiner for Sentiment Analysis

***As of April 3rd, 2016, this tutorial no longer works until further notice.*** The operator “Enrich Data by Webservice” of the RapidMiner Web Mining Extension seems to be having issues making connections to URLs over HTTPS protocol. Please contact RapidMiner to get more support.Please help us fix this tutorial by letting us know if you have […]
January 10, 2016
Comparison table of British and American English spellings

Uses Of Lemmatizer API

Last week, we learnt about Lemmatization. (Post: What Is Lemmatization?) Today, we’ll be focusing on the actual application of the Lemmatizer API.   English is one of the most widely used language in the world, having over 335 millions native speakers. (Source: Ethnologue, 2014) Taking into consideration this number only represents people speaking English […]