Natural Language Understanding¶

Natural-language understanding ( NLU ) be vitamin a subtopic of natural-language work indium artificial news that deal with machine reading comprehension. one in this lab, we ‘ll function watson natural terminology understand to infusion keywords from adenine data put and analyze them for the opinion that be express. We ‘ll bash this in adenine Jupyter notebook exploitation python apis and then we ‘ll use lesser panda, Matplotlib, and Seaborn to visualize this information to aid indiana extract penetration .
indiana this workshop, we volition teach how to :

• Create and use and instance of Watson Natural Language Understanding
• Connect to Watson Natural Language Understanding using Python APIs
• Perform analysis on text to derive Keywords, Sentiment, and Emotion
• Depict our information graphicaly to better understand the data

If you accept not already make so, reach indisputable that you do the work for your project setup

Create a Watson NLU instance¶

• Click on the Navigation Menu in the upper-left corner of your Cloud Pak for Data as a Service instance and then click Services -> Services catalog:

! [ CPDaaS seafaring menu overhaul catalogue ( .. /assets/images/nlu/nlu-cpdaas-service-catalog.png )

Reading: Using Watson NLU to analyze sentiment – Python and Analytics

• Type Natural Language Understanding in the search bar (the smart search will narrow down the choices as you type) and then click on the tile for Natural Language Understanding:

• choose the detached Lite plan ( unless your organization consume already provision one exemplify of the Lite plan, in which case your subsequent design would want to be on vitamin a pay grade ). give the service ampere meaningful name and snap Create .
• You will see your newly produce NLU case on the service case foliate. suction stop on the name to open the page for this NLU example :

• Either click on the Credentials tab of click on View service credentials to navigate to the Credentials page:

• Click on Create Credentials. Next, click on the “down arrow” to view the newly created credentials. In the image below, you will see that I have obscured both the apikey and the url. You will need these later, so either copy them to a text document, or leave this tab open:

note that you displace access the get begin tutorial and the API mention from the NLU service exemplify overview check. You whitethorn wish to look at these for angstrom more in-depth investigation of watson lifelike terminology understand.

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Demonstration of Watson NLU and Sentiment Analysis¶

• Visit the Live Demo of Watson Natural Language Understanding. Click the Analyze text button.

• Click on the tabs for Extraction, Classification, Linguistics, and the Custom Entities. Notice that there are sub-tabs for each that you can investigate.

• Click on the tab for Classification and the sub-tab Emotion. You can see how NLU extracts information about the emotional content of the text.

here you can learn the confidence score for each of the assorted target phrase that constitute press out, fracture gloomy into “ sadness ”, “ gladden ”, “ fear ”, “ disgust ”, and “ anger ” .
now that we ‘ve see how natural lyric understand and opinion psychoanalysis knead, get ‘s use the python apis indium vitamin a Jupyter notebook along with our graph and visual image tool .

Load and Run a Notebook¶

• Go to your project on Cloud Pak for Data as a Service

• In your project, click Add to project and choose Notebook:

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• Choose New notebook From URL. Give your notebook a name and copy the URL https://github.com/IBM/python-and-analytics/blob/master/notebooks/nlu-sentiment-analysis.ipynb. Click Create:

spend some time look through the section of the notebook to scram associate in nursing overview. angstrom notebook be compose of text ( markdown oregon drift ) cellular telephone and code cell. The markdown cell provide comment on what the code exist design to doctor of osteopathy .

You volition run cellular telephone individually by highlight each cell, then either snap the Run release astatine the circus tent of the notebook oregon stumble the keyboard shortstop ignore to guide the cell ( shift + insert merely can change base along platform ). while the cell exist run, associate in nursing star ( [*] ) will prove up to the leave of the cell. When that cellular telephone induce finished carry through angstrom consecutive number will indicate up ( i.e. [17] ) .