bebot-library

bebotLibrary (v1.0)

Library for node js that provides an interface to integrate cognitive services to chatbots projects.

Allows to use with

• Text Analytics API (Microsoft)

Who use this library ?

Execute:

npm install bebot-library

Then import in to you project

var bebotLibrary = require('bebot-library');

Use the methods:

var textAnalitycsAPI = bebotLibrary.microsoft.textAnalytics;
var textAnalitycsObject = textAnalitycsAPI('TEXT_ANALITYCS_API_KEY','TEXT_ANALITYCS_API_ENDPOINT');
textAnalitycsObject.sentiment(body, null, function(err, data){
    if(data){
        // process data

    }
    if(err){
        // process error
    }
});

Methos list

• Text Analytics API (Microsoft - Language):
  1. sentiment: function(body__, headers__, callback);
  2. language: function(body__, headers__, parameters__, callback);
  3. keyPhrases: function(body__, headers__, callback);
• Bing Spell Check API (Microsoft - Language):
  1. getSpellCheck: function(headers__, parameters__, callback);
  2. postSpellCheck: function(body__, headers__, parameters__, callback);
• Text Translate API (Microsoft- Language):
  1. translation: function(headers__,parameters__, callback);
  2. multiTranslation: function(body__, headers__, parameters__, callback);
  3. getLanguageNames: function(body__, headers__, parameters__, callback);
  4. getLanguageForTranslate: function(headers__, parameters__, callback);
  5. detect: function(headers__, parameters__, callback);
  6. To be implemented in the future (getLanguagesForSpeak, speak, detectArray, addTranslation, addTranslationArray, breakSentences, getTranslations, getTranslationsArray)
• Bing Search Web API (Microsoft - Search):
  1. search: function(headers__, parameters__, callback);
• Bing Search News API (Microsoft - Search):
  1. categoryNews: function(headers__, parameters__, callback);
  2. search: function(headers__, parameters__, callback);
  3. trendingTopics: function(headers__, callback);

Note: For each method there is a function to build the body, header and parameters.

for example:

    postSpellCheckBodyHelper: function(text__){
        return {
            'text': text__
        }
    },

    postSpellCheckHeaderHelper: function(contentType__, accessKey__){
        return {
            'Content-Type': contentType__, 'Ocp-Apim-Subscription-Key': accessKey__,
        }
    },

    postSpellCheckParametersHelper: function(mode__, mkt__){
        return {
            'mode': mode__,
            'mkt': mkt__
        }
    },