Aylien is a package consisting of eight different Natural Language Processing, Information Retrieval and Machine Learning APIs that can be adapted to your processes and applications with relative ease. Admittidly this wrapper doesn't add a significant value to their extensive, well documented PHP SDK, as the primary purpose is to provide the facade Aylien::
to your Laravel 5 app.
#Installation
Require this package in your composer.json
and update composer. Run/add either of the below two commands
"hopkins/laravel-aylien-wrapper": "dev-master"
or
composer require hopkins/laravel-aylien-wrapper=dev-master
After updating composer, add the ServiceProvider to the providers array in app/config/app.php
'Hopkins\LaravelAylienWrapper\Providers\AylienServiceProvider',
and the facade into your array of facades
'Aylien' => 'Hopkins\LaravelAylienWrapper\Facades\Aylien',
Run the artisan command to bring the config into your project
php artisan vendor:publish
I put my api keys in the .env file. To use this style of config you can copy the below into your config/aylien.php
return [
'app_id' => env('API_AYLIEN_APP_ID'),
'app_key' => env('API_AYLIEN_APP_KEY')
];
#How to use
Aylien provides a number of great examples on their site, as well as terrific documentation. However I'd feel bad if I didn't at least provide one example. The example at the bottom of the readme uses the Sentiment analysis, however all of the following are available for use
Aylien::Sentiment();
Aylien::Extract();
Aylien::Classify();
Aylien::Concepts();
Aylien::Hashtags();
Aylien::Entities();
Aylien::Language();
Aylien::Related();
Aylien::Summarize();
Aylien::Microformats();
Aylien::UnsupervisedClassify();
Let's say you want to log all messages you receive from a chat/email client/contact form. You'd have a Message.php
model in this case that saved to your database. By adding a public static function boot()
method we can utilize Laravel's model events to make sure first we get the message into the db, and then take the time to call Aylien's API. The below example is using the Sentiment anaylisis
class Message extends BaseModel
{
protected $guarded = ['id'];
public static function boot()
{
parent::boot();
Message::created(function(Message $message)
{
$aylienResponse = \Aylien::Sentiment(['text'=>$message->message]);
$message->update([
'polarity' => $aylienResponse->polarity,
'polarity_confidence' => $aylienResponse->polarity_confidence,
'subjectivity' => $aylienResponse->subjectivity,
'subjectivity_confidence' => $aylienResponse->subjectivity_confidence
]);
});
}
}