1.
The Combined Power of Sentiment
Analysis and Personality Insights

2.
Housekeeping Items
• Webinar widgets
• Ask your questions throughout the
presentation
• Twitter - #BuildingWithWatson, @IBMWatson
• Follow up
• Webinar slides, live recording and
additional resources

3.
Our Expert: Zach Walchuk
Developer Evangelist, Watson
Developer Cloud

4.
The housekeeping items
• Webinar slides, recording and Q&A will be emailed
• Enter questions in chat on webinar panel
• Or ask your questions on Twitter @IBMWatson
• Use #BuildingWithWatson

5.
What will be covered today?
• Approaches to sentiment analysis
• Watson Personality Insights: The Big 5
• Sample calls
• Parameter explanation

6.
• Document-­level, entity-­targeted, and keyword-­targeted sentiment mining.
• Understands negations, amplifiers, diminishers, typos, hashtags and slang.
• Examples:
– Overall Text Sentiment
• So happy I found this pizza
– Targeted Sentiment
• So happy I found this pizza, I really don't like hot dogs
Extract positive and negative opinions from any text.
Sentiment Analysis

7.
Watson Personality Insights: The Big 5
• Agreeableness
• A person's tendency to be compassionate and cooperative toward others
• Conscientiousness
• A person's tendency to act in an organized or thoughtful way
• Extraversion
• A person's tendency to seek stimulation in the company of others
• Emotional Range
• The extent to which a person's emotions are sensitive to the
individual's environment
• Openness
• The extent to which a person is open to experiencing a variety of
activities

8.
Watson Personality Insights: The Big 5

9.
Making Sentiment Calls - cURL
curl
'http://access.alchemyapi.com/calls/text/TextGetTextSentiment?outputMode=json&text=That%20
pizza%20was%20delicious&apikey=YOUR_API_KEY'
{
"status": "OK",
"totalTransactions": "1",
"language": "english",
"docSentiment": {
"score": "0.660833",
"type": "positive"
}
}

10.
Sentiment Parameters
#AlchemistHour
• url – url of text to be analyzed
• only used with endpoints URLGetTextSentiment and
URLGetTargetedSentiment
• text – text to be analyzed
• only used with endpoints TextGetTextSentiment and
TextGetTargetedSentiment
• target – target phrase
• apikey – your API key
• outputMode –xml, json
• jsonp – desired JSONP callback (requires json outputMode)
• showSourceText – whether to include the original 'source text' the
sentiment was extracted from

11.
Additional info for Sentiment Analysis
• Maximum document size for HTML documents is 600kb. Remaining
text after HTML cleaning must be less than 50kb.
• Sentiment analysis is supported for eight languages: English,
Spanish, Italian, German, French, Portuguese, Swedish, and Russia
• If the sentiment target is not found, a "cannot-locate-keyphrase" error
response will be returned

12.
Making Personality Insights Calls - cURL
curl -v -X POST -d @personality.txt -u USERNAME:PASSWORD -H "Accept-Language: en"
-H "Content-Type: text/plain" -H "Accept: application/json" "Content-Language: en"
"https://gateway.watsonplatform.net/personality-insights/api/v2/profile"
{
"id": "Openness",
"name": "Openness",
"category": "personality",
"percentage": 0.8925013538451143,
},
{
"id": "Conscientiousness",
"name": "Conscientiousness",
"category": "personality",
"percentage": 0.7348076938514495,
},
{
"id": "Extraversion",
"name": "Extraversion",
"category": "personality",
"percentage": 0.4771565706306179,
},
{
"id": "Agreeableness",
"name": "Agreeableness",
"category": "personality",
"percentage": 0.4130282366306227,
},
{
"id": "Neuroticism",
"name": "Emotional range",
"category": "personality",
"percentage": 0.09469501678631477,
}

13.
Personality Insights Header Parameters
• Content-Type – text/plain, text/html, application/json
• Accept – application/json, text/csv
• Accept-Language – en (english response only)
• Content-Language – en, es (english or spanish input)
• include_raw - if true, will return a raw score for each characteristic in
addition to a normalized score
• headers – if true, column labels are returned with CSV response

14.
Are you ready to get started?
• Get an AlchemyAPI key and sign up on Bluemix
• Download the Alchemy and Watson SDKs
• Check out the Getting Started Guides and WDC
Documentation for examples
• Ask me questions!

15.
Q&A

16.
• Look out for a follow up email with a copy of these slides, a recording of
the webinar, Q&A recap, and additional resources
• View and share this presentation on SlideShare
• Follow us for more webinars
What’s next?

17.
Contact us
1-877-253-0308
wdc-dev@bg.vnet.ibm.com
www.alchemyapi.com
Thank you for attending!