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The Combined Power of Sentiment Analysis and Personality Insights

In this webinar, we covered a more in depth view of Watson's Sentiment Analysis, and how that API works with the Personality Insights API. Review these slides to learn more about how you can interpret your audience with the Sentiment Analysis API.

Learn how to build cognitive apps using Watson APIs during our Building With Watson web series:

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The Combined Power of Sentiment Analysis and Personality Insights

  1. 1. The Combined Power of Sentiment Analysis and Personality Insights
  2. 2. Housekeeping Items • Webinar widgets • Ask your questions throughout the presentation • Twitter - #BuildingWithWatson, @IBMWatson • Follow up • Webinar slides, live recording and additional resources
  3. 3. Our Expert: Zach Walchuk Developer Evangelist, Watson Developer Cloud
  4. 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. 5. What will be covered today? • Approaches to sentiment analysis • Watson Personality Insights: The Big 5 • Sample calls • Parameter explanation
  6. 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. 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. 8. Watson Personality Insights: The Big 5
  9. 9. Making Sentiment Calls - cURL curl ' pizza%20was%20delicious&apikey=YOUR_API_KEY' { "status": "OK", "totalTransactions": "1", "language": "english", "docSentiment": { "score": "0.660833", "type": "positive" } }
  10. 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. 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. 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" "" { "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. 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. 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. 15. Q&A
  16. 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. 17. Contact us 1-877-253-0308 Thank you for attending!