A simple question-answering system built using IBM Watson's NLP services.
In this project, you will use IBM Watson's NLP Services to create a simple question-answering system. You will first use the Discovery service to pre-process a document collection and extract relevant information. Then you will use the Conversation service to build a natural language interface that can respond to questions.
Clone this repository to your local computer.
If you have the AIND Anaconda environment prepared, now is a good time to activate it.
Open the notebook bookworm.ipynb from a terminal using the following command:
jupyter notebook bookworm.ipynb
Then follow the instructions in the notebook.
Note: You may have to install some packages (mentioned in the notebook). To do so, simply open another terminal and use pip.
`pip3 install -r requirements.txt`
-
Watson Discovery Python API https://www.ibm.com/watson/developercloud/discovery/api/v1/?python
-
Watson Discovery Docs https://www.ibm.com/watson/developercloud/doc/discovery/index.html
-
Watson Python SDK https://github.com/watson-developer-cloud/python-sdk
-
Watson Discovery Guide https://www.ibm.com/watson/developercloud/doc/discovery/getting-started-tool.html
-
Sign up to Bluemix 30 day free trial or eligible student https://console.bluemix.net/registration/
-
Create Org Name and Space: Org name: Space name: dev
-
Create Watson > Discovery service https://console.bluemix.net/dashboard/watson?env_id=ibm:yp:au-syd
- Fix error
WatsonException: Error: Unsupported Media Type, Code: 415by modifying the file mentioned here
Complete each task in the notebook by implementing or modifying code wherever there is a TODO comment in a code cell, and answering any inline questions by modifying markdown cells. E.g.:
Q: What is the overall sentiment detected in this text? Mention the type (positive/negative) and score.
A: Negative, -0.798
Once you have completed all tasks, save the notebook, and then export it into a PDF or HTML. Remember to submit both the notebook (.ipynb) and the PDF/HTML, along with any other files that may be needed, e.g. data files, in case you use your own (sample files provided with the project don't need to be submitted).
Note: Please do not submit your service-credentials.json file - that is meant to be kept secret.
Feel free to work on the project with your own dataset. You can also turn it into a web-based application and deploy it on Bluemix.
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. Please refer to Udacity Terms of Service for further information.
