Setting up xtas ». Xtas, the eXtensible Text Analysis Suite. This is the manual for xtas, a distributed text analysis package based on Celery. xtas provides NLP functionality such as named-entity recognition, parsing, document clustering and topic models, through Python (synchronous/asynchronous) and REST APIs. Running as a daemon.
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xtas, the eXtensible Text Analysis Suite — xtas 3.2 documentation | xtas.net Reviews
https://xtas.net
Setting up xtas ». Xtas, the eXtensible Text Analysis Suite. This is the manual for xtas, a distributed text analysis package based on Celery. xtas provides NLP functionality such as named-entity recognition, parsing, document clustering and topic models, through Python (synchronous/asynchronous) and REST APIs. Running as a daemon.
xtas.net
Frequently anticipated questions — xtas 3.4 documentation
http://xtas.net/faq.html
If xtas downloads optional dependencies at runtime, where will it put those? By default, in. You can override this by setting the. In addition, xtas uses NLTK extensively, and that will download resource files to. When starting a Celery worker. Check if RabbitMQ is running and xtas is properly configured to talk to it.
xtas + Elasticsearch tutorial — xtas 3.4 documentation
http://xtas.net/tutorial.html
Laquo; Getting started. Architecture . ». Assuming you’ve properly configured and started xtas as described in the section Getting started. Here’s how to do interesting work with it. First, you need a document collection. If you don’t have one already, download the 20newsgroups dataset:. Curl http:/ qwone.com/ jason/20Newsgroups/20news-bydate.tar.gz tar xzf -. Store the documents in Elasticsearch:. Now, we can run named-entity recognition on the documents. Let’s try it on one document:. Appears twice sin...
Extending xtas — xtas 3.4 documentation
http://xtas.net/extending.html
Laquo; REST API. Changelog/rel. ». This is a short guide to extending xtas to suit specific needs and (optionally) contributing code back. It describes how to write now tasks and tie them in with the package. If you have a custom task that you want xtas to perform, then you can add it as follows. Suppose you want to perform sentiment analysis on French text using the Pattern. Toolkit. First, install Pattern:. Perform sentiment analysis on French text. And a positive/negative score. Put your module in it:.
API reference — xtas 3.4 documentation
http://xtas.net/api.html
Laquo; Architecture . REST API ». Core functionality. Contains the configuration and the (singleton) Celery “app” instance. Will be used to configure the xtas Celery app. Will be passed to Celery’s. Should be a list of dicts with at least the key ‘host’. These are passed to the Elasticsearch constructor (from the official client) unchanged. Should be a list of module names to load. Causes the default configuration to be re-set. Extra modules will not be unloaded, though. Action to take when one of the.
REST API — xtas 3.4 documentation
http://xtas.net/rest.html
Laquo; API reference. Extending xtas ». When run as a webserver, xtas exposes a simple REST API to its tasks. To tokenize a string using this API, you need to make two HTTP requests, one to start a task and one to wait until it has completed. Assuming default settings for the webserver, you can try:. Curl -H Content-type: text/plain -X POST -d Hello, world! Http:/ 127.0.0.1:5000/run/tokenize 11d0f158-abdb-4a0a-860d-b365456122f4. Curl -H Content-type: application/json -X POST -d {data: Hello, world!
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Publicity | Edgar Meij
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Semantic search research ッ. Een bril die alles weet. Dit is het artikel uit het NRC van 9 februari 2013, getiteld “Een bril die alles weet.”. De fantasie van Star Trek en The Matrix komt dichterbij. Computers gaan u steeds beter begrijpen. Straks kunt u gewoon met zoekmachines praten. Continue reading “Een bril die alles weet” ». February 11, 2013. Zoekmachines van de toekomst. Linking Open Data cloud diagram; datasets met gestructureerde computerleesbare data en daartussen aangebrachte links. Methoden d...
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xtas, the eXtensible Text Analysis Suite — xtas 3.2 documentation
Setting up xtas ». Xtas, the eXtensible Text Analysis Suite. This is the manual for xtas, a distributed text analysis package based on Celery. xtas provides NLP functionality such as named-entity recognition, parsing, document clustering and topic models, through Python (synchronous/asynchronous) and REST APIs. Running as a daemon.
XTAS - Christa's Sieraden
Xtas - Christa's Sieraden. Wil je graag zelf eens een sieraad maken, geef je dan (samen met bijvoorbeeld een groepje vriendinnen of collega s) op voor een Sieraden Workshop. Ook voor Sieraden Kinderfeestjes. Kun je bij mij terecht. Kijk voor meer informatie over de workshops op de betreffende pagina s. De sieraden die ik maak zijn te koop via mijn winkel op Dawanda. Heb je zelf een idee voor een sieraad, neem dan gerust contact met mij op. Inmiddels geef ik ook Hotfix Kinderfeestjes.
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