README.md in dandelionapi-0.0.1 vs README.md in dandelionapi-0.0.2

- old
+ new

@@ -1,8 +1,8 @@ # [![Ruby Gem Icon](https://raw.githubusercontent.com/zenkay/dandelionapi-ruby/master/rubygem.png)](https://rubygems.org/gems/dandelionapi) Dandelion API Ruby Gem -[![Code Climate](https://codeclimate.com/github/zenkay/dandelionapi-ruby/badges/gpa.svg)](https://codeclimate.com/github/zenkay/dandelionapi-ruby) [![Travis CI](https://travis-ci.org/zenkay/dandelionapi-ruby.svg?branch=master)](https://travis-ci.org/zenkay/dandelionapi-ruby) [![Gem Version](https://badge.fury.io/rb/dandelionapi.svg)](http://badge.fury.io/rb/dandelionapi) [![Coverage Status](https://coveralls.io/repos/zenkay/dandelionapi-ruby/badge.png?branch=master)](https://coveralls.io/r/zenkay/dandelionapi-ruby?branch=master) +[![Code Climate](https://codeclimate.com/github/zenkay/dandelionapi-ruby/badges/gpa.svg)](https://codeclimate.com/github/zenkay/dandelionapi-ruby) [![Travis CI](https://travis-ci.org/zenkay/dandelionapi-ruby.svg?branch=master)](https://travis-ci.org/zenkay/dandelionapi-ruby) [![Gem Version](https://badge.fury.io/rb/dandelionapi.svg)](http://badge.fury.io/rb/dandelionapi) [![Coverage Status](https://coveralls.io/repos/zenkay/dandelionapi-ruby/badge.svg)](https://coveralls.io/r/zenkay/dandelionapi-ruby) ## Installation Add this line to your application's Gemfile: @@ -29,24 +29,24 @@ ## Usage _Methods references are taken from [Dandelion API's documentation](https://dandelion.eu/docs/)._ -**Entity Extraction API**: is a named entity extraction & linking API that performs very well even on short texts, on which many other similar services do not. dataTXT-NEX currently works on English, French, German, Italian and Portuguese texts. With this API you will be able to automatically tag your texts, extracting Wikipedia entities and enriching your data. +**[Entity Extraction API](https://dandelion.eu/docs/api/datatxt/nex/v1/)**: is a named entity extraction & linking API that performs very well even on short texts, on which many other similar services do not. dataTXT-NEX currently works on English, French, German, Italian and Portuguese texts. With this API you will be able to automatically tag your texts, extracting Wikipedia entities and enriching your data. ``` element = Dandelionapi::EntityExtraction.new response = element.analyze(text: "This is a test") ``` -**Text Similarity API**: is a semantic sentence similarity API optimized on short sentences. With this API you will be able to compare two sentences and get a score of their semantic similarity. It works even if the two sentences don't have any word in common. +**[Text Similarity API](https://dandelion.eu/docs/api/datatxt/sim/v1/)**: is a semantic sentence similarity API optimized on short sentences. With this API you will be able to compare two sentences and get a score of their semantic similarity. It works even if the two sentences don't have any word in common. ``` element = Dandelionapi::TextSimilarity.new response = element.analyze(text1: "This is a test", text2: "This is another test") ``` -**Language Detection API**: is a simple language identification API; it is a tool that may be useful when dealing with texts, so we decided to open it to all our users. It currently supports more than 50 languages. +**[Language Detection API](https://dandelion.eu/docs/api/datatxt/li/v1/)**: is a simple language identification API; it is a tool that may be useful when dealing with texts, so we decided to open it to all our users. It currently supports more than 50 languages. ``` element = Dandelionapi::LanguageDetection.new response = element.analyze(text: "Questo รจ un test") ```