I am working on Stanford NER task, and I want to use the Stanford CoreNLp, but I need it as a web service, by sending it the sentences and it will retrieve the sentences with resolved
So, anyone knows a service to do that, or how can I benefit this website
Thanks
You can use the below links
https://github.com/EducationalTestingService/stanford-thrift
or
https://github.com/nlohmann/StanfordCoreNLPXMLServer
Related
I created a UIMA stack using OpenNLP that runs locally across all cores. It does a variety of tasks including reading from a CSV file, inserting text to a database, parsing the text, POS tagging text, chunking text, etc. I also got it to run a variety of tasks across a spark cluster.
We want to add some machine learning algorithms to the stack and DeepLearning4j came up as a very viable option. Unfortunately, it was not clear how to integrate DL4J within what we currently have or if it simply replicates the stack I have now.
What I have not found in the UIMA, ClearTK, and Deeplearning4j sites is how these three libraries fit together. Does DeepLearning4J implement a ClearTK set of abstract classes that calls OpenNLP functions? What benefit does ClearTK provide? Do I worry about how DeepLearning4J implements anything with the ClearTK framework?
Thanks!
As far as I understand you're running a UIMA pipeline which uses some OpenNLP based AnalysisEngines, so far that's fine.
What is not clear from your question is what you're looking for in terms of feature, rather than tooling.
So I think that's the first thing to clarify.
Other than that, Apache UIMA is an architectural framework; there you can integrate OpenNLP, DL4J, ClearTK or anything else is useful for your unstructured information processing task.
In the Apache OpenNLP project we're doing some experiments for integrations of different DL frameworks, you can have a https://issues.apache.org/jira/browse/OPENNLP-1009 (current prototypes are based on DL4J).
Since you mentioned you're leveraging an Apache Spark cluster, DL4J might be a good fit as it should integrate smoothly with it.
We only use it as part of a set of interfaces for NLP with dl4j. A tokenizer factory and tokenizer that uses UIMA internally for tokenization and sentence segmentation with our sentenceiterator interface. That's very different from building your own models with deeplearning4j itself.
I've started using the alchemy API but I would like to know if
there is any scientific publication that explains the models used for extracting the keywords and the concepts from the text?
Also according to this answer Is there way to influence AlchemyAPI sentiment analysis
the models used for the alchemy Api were trained on billions of web pages. My question is on which type of data the algorithms were trained on
(only news content for example?).
Thank you in advance for the answers.
Their website says that AlchemyAPI uses a deep learning model. Other than that tidbit, they keep their secret sauce under wraps.
Now that they've been acquired by IBM, their APIs are part of IBM's Bluemix suite of machine learning services. There is a way to train the model using your own data. The custom model option is not cheap though: $3,500.00 USD/Custom Model Instance per Month, in addition to API request charges.
If you want an open-source alternative try DatumBox. It's open-source, and you can dig in as deep as you'd like.
How do I implement online recommendation using Mahout. i want to get recommendation from the mahout recommendation engine on real time using some mechanism like REST API.
please share me any implementation idea
Regards.
I am working on large scare text based analysis. More precisely I am doing Sentiment analysis on Twitter data for particular products.
I am using Flume to pull Twitter data in HDFS.
Is there any NLP API or Utility I can apply on these twitts to get correct and meaningful sentiment out of it?
I am looking for NLP API or utility that i can use in Hadoop system.
Two possible solutions are:
Integrating nltk with Hadoop. Some resources: http://strataconf.com/stratany2013/public/schedule/detail/30806, http://www.datacommunitydc.org/blog/2013/05/nltk-hadoop, https://danrosanova.files.wordpress.com/2014/04/practical-natural-language-processing-with-hadoop.pdf
Using Apache Mahout, http://www.slideshare.net/Hadoop_Summit/stella-june27-1150amroom210av2
I am working a project where I need to generate a series of classes to represent/access data in the database. Third party projects such as hibernate or subsonic are not an option. I am new in this subject domain, so I am looking for information on the topic. The project is in .net and I am using MyGeneration. I am primarily looking for information.
What is your single best resource for topics on code generation of data access?
Please post only one link at a time and look for your resource before posting. If you find your resource, please vote up instead of posting it. .
( I am not interesting in rep, just information)
Are you using .NET? Try MyGeneration
CodeSmith
ORAPig generates Python interfaces for Oracle packages. A Postgresql module is being worked on.
http://code.google.com/p/orapig