JavaScript 語言分析庫：Personify.js

Personify.js 是一個 JavaScript 庫，可以讓你輕松訪問 IBM Watson特性并利用 推ter 的數據。IBM Watson 提供很多高級的語言分析工具，而 推ter 是最受歡迎的基于文本的通訊平臺。

當前版本實現了：

• Watson User Modeling service which extracts cognitive and social characteristics, including Big Five, Values, and Needs, from communications data provided.
• Watson Machine Translation service which converts text input in one language into a desired language for the end user. Translation is available for English, Brazilian Portuguese, Spanish, French and Arabic.
• 推ter REST API.
• 推ter Streaming API.

使用方法：

var Personify = require('personify');

// For every service you use through Watson, IBM will provide you with a separate set of 
// OAuth credentials. See below to find out where to get these credentials.
var config = {
// example credentials for Watson Machine Translation service
    translateConfig : {
        service_url:          '...',
        service_username:     '...',
        service_password:     '...'
    },
// example credentials for Watson User Modeling service
    personalityConfig : {
        service_url:          '...',
        service_username:     '...',
        service_password:     '...'
    },
// example credentials for 推ter API
    推terConfig : {
        consumer_key:         '...',
        consumer_secret:      '...',
        access_token:         '...',
        access_token_secret:  '...'
    }
};

//
// Instantiate a new Personify object and pass in OAuth credentials 
// inside of an object literal
//
var P = new Personify(config);

//
// Use Watson to discover personality traits, values and needs for a 推ter user
// '@' can be used before a username, but is not required (e.g. '@userName')
//
var params1 = { 
                screen_name: 'userName',
                count: 100
              };

P.userPersonify( params1 , function (data, error) {
    console.log(data, error);
});

//
// Watson provides a personality assessment of the combined input of tweets in a 
// user's home timeline. Includes tweets from friends and accounts the user is following, 
// and their retweets
//
var params2 = { 
                count: 100, 
                exclude_tweets: true 
              };

P.homePersonify( params2, function (data, error) {
    console.log(data, error);
});

//
// Search 推ter with a (required) keyword. Accepts all of 推ter's optional search 
// parameters and a few additional ones we've created for your convenience.
//
var params3 = { 
                q: '#JavaScript', 
                geocode: 'San Francisco' //geocode takes most major US cities and all US states
              };                         //see this method in API for a full list of city and state shortcut terms

P.searchPersonify( params3 , function (data, error) {
  console.log(data, error);
});

//
// Grab a number of Tweets in a specified language and get back both the original text and its 
// translation in another destination language. Most of the search parameters available 
// here are the same as those in our searchTweet method.
//
var params4 = { 
                q: 'JavaScript', 
                fromLanguage: 'ar', // Translate from Arabic
                toLanguage: 'en',   // to English
                outputType: 'text'  // Choose from text, json or XML
              };

P.searchTranslate( params4 , function (data, error) {
    console.log(data, error);
});

//
// Input a 推ter handle and get back their tweets translated
//
var params5 = {
                screen_name: 'userName',
                fromLanguage: 'en',
                toLanguage: 'fr',
                outputType: 'text'
              };

P.userTranslate( params5, function(data, error){
    console.log(data, error);
});

//
// Get tweets from your home timeline and have them translated into another language
//
var params6 = {
                count: 150,
                fromLanguage: 'en',
                toLanguage: 'fr',
                outputType: 'json'
              };

P.homeTranslate( params6, function(data, error){
    console.log(data, error);
});

//
// Find public tweets talkng about the Large Hadron Collider using 推ter's Streaming API and 
// translate them into another language
//
var params7 = {
                track: '推ter',
                fromLanguage: 'en',
                toLanguage: 'fr',
                outputType: 'text'
              };

P.streamTranslate( params7, function(data, error){
    console.log(data, error);
});

項目主頁：http://www.baiduhome.net/lib/view/home/1421469734156