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‎README.md

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# PHP NLP-Client
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This is a simple PHP library for performing multi-lingual Natural Language tasks using Web64's NLP-Server https://github.com/web64/nlpserver.
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This is a simple PHP library for performing multilingual Natural Language tasks using Web64's NLP-Server https://github.com/web64/nlpserver and other providers.
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NLP Tasks Available through Web64's NLP Server:
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NLP tasks available through Web64's NLP Server:
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* [Language detection](#language-detection)
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* [Article Extraction from HTML or URL](#article--metadata-extraction)
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* [Entity Extraction](#entitiy-extraction--sentiment-analysis-polyglot) (NER) - Multilingual
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## NLP-Server
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Most NLP features in this package requires a running instance of the NLP-Server, which is a simple python flask app providing web service api access to common python NLP libraries.
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Installation documentation: https://github.com/web64/nlpserver
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Installation instrcuctions: https://github.com/web64/nlpserver
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## Entity Extraction - Named Entity Recognition (NER)
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This package provides access to three different methods for entity extraction.
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This library provides access to three different methods for entity extraction.
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| First Header | Language Support | Programming Lang. | API Access |
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| Provider | Language Support | Programming Lang. | API Access |
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| ------------- | ------------- | ------------- | ------------- |
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| [Polyglot](https://polyglot.readthedocs.io/en/latest/) | 40 languages | Python | NLP Server |
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| [CoreNLP](https://stanfordnlp.github.io/CoreNLP/download.html) | 6 languages | Java | CoreNLP Standalone server |
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| [Spacy](https://spacy.io/) | 7 languages | Python | NLP Server |
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| [CoreNLP](https://stanfordnlp.github.io/CoreNLP/download.html) | 6 languages | Java | CoreNLP Standalone server |
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If you are dealing with text in English or one of the major European language you will get the best results with CoreNLP or Spacy.
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wget http://nlp.stanford.edu/software/stanford-english-kbp-corenlp-2018年10月05日-models.jar
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```
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### Running CoreNLP server
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### Running the CoreNLP server
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```bash
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# Run the server using all jars in the current directory (e.g., the CoreNLP home directory)
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java -mx4g -cp "*" edu.stanford.nlp.pipeline.StanfordCoreNLPServer -port 9000 -timeout 15000

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