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Example code of dennis-de-swart/php-stanford-corenlp-adapter

Informations about the package php-stanford-corenlp-adapter

PHP Stanford CoreNLP adapter

Version Total Downloads Maintenance Minimum PHP Version License

PHP adapter for use with Stanford CoreNLP

Features

Requirements

Update 24th February 2018

PHP7 Type hinting removed, because it was causing issues for some users.

Update 28th January 2019

Fixed issue with PHP 7.1 upwards

Installation using ZIP files

Installation using Composer

Using the Stanford CoreNLP online API service

The adapter by default uses Stanford's online API service. This should work right after the composer update. Note that the online API is a public service. If you want to analyze large volumes of text or sensitive data, please install the Java server version.

OpenIE

OpenIE creates "subject-relation-object" tuples. This is similar (but not the same) as the "Subject-Verb-Object" concept of the English language.

Notes:

Installation / Walkthrough for Java server version

Step 1: install Java

Step 2: installing the Stanford CoreNLP 3.7.0 server

Step 3: Port for server

Default port for the Java server is port 9000. If port 9000 is not available you can change the port in the "bootstrap.php" file. Example:

Step 4: Start the CoreNLP serve from the command line.

Go to the download directory, then enter the following command:

Important note: the Stanford manual says "-mx4g", however I found that this can lead to a Java OutOfMemory error. It is also important to use a 64-bit operating system with at enough memory (8Gb or more recommended)

Step 5: Test if the server has started by surfing to it's URL

When you surf to this URL, you should see the CoreNLP GUI. If you have problems with installation you can check the manual:

Step 6: Set ONLINE_API to FALSE

In "bootstrap.php" set define('ONLINE_API' , FALSE). This tells the Adapter to use the Java version

Usage examples

Instantiate the adapter:

To process a text, call the "getOutput" method:

Note that the first time that you process a text, the server takes about 20 to 30 seconds extra to load definitions. All other calls to the server after that will be much faster. Small texts are usually processed within seconds.

The results

If successful the following properties will be available:

Diagram A: Tree With Tokens

Diagram B: The ServerMemory contains all the server data

Any questions?

Please let me know.

Credits

Some functions are forked from this "Stanford parser" package:

All versions of php-stanford-corenlp-adapter with dependencies

PHP Build Version
Package Version
Requires php Version >=5.5
guzzlehttp/guzzle Version ^6.2.0
Composer command for our command line client (download client) This client runs in each environment. You don't need a specific PHP version etc. The first 20 API calls are free. Standard composer command

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