| copyright |
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|---|---|---|---|
| lastupdated | 2021-03-10 | ||
| subcollection | personality-insights |
{:help: data-hd-content-type='help'} {:support: data-reuse='support'} {:shortdesc: .shortdesc} {:external: target="_blank" .external} {:tip: .tip} {:important: .important} {:note: .note} {:deprecated: .deprecated} {:pre: .pre} {:codeblock: .codeblock} {:screen: .screen} {:javascript: .ph data-hd-programlang='javascript'} {:java: .ph data-hd-programlang='java'} {:python: .ph data-hd-programlang='python'} {:swift: .ph data-hd-programlang='swift'}
{: #about}
{{site.data.keyword.personalityinsightsfull}} is discontinued. Existing instances are supported until 1 December 2021, but as of 1 December 2020, you cannot create new instances. Any instance that exists on 1 December 2021 will be deleted.
No direct replacement exists for {{site.data.keyword.personalityinsightsshort}}. However, you can consider using {{site.data.keyword.nlufull}} on {{site.data.keyword.cloud}} as part of a replacement analytic workflow for your {{site.data.keyword.personalityinsightsshort}} use cases. You can use {{site.data.keyword.nlushort}} to extract data and insights from text, such as keywords, categories, sentiment, emotion, and syntax. For more information about the personality models in Personality Insights, see The science behind the service.
{: deprecated}
The {{site.data.keyword.personalityinsightsfull}} service provides an API for deriving insights from social media, enterprise data, or other digital communications. The service uses linguistic analytics to infer individuals' intrinsic personality characteristics from digital communications such as email, text messages, tweets, and forum posts. {: shortdesc}
The service infers, from potentially noisy social media, portraits of individuals that reflect their personality characteristics. It can also determine individuals' consumption preferences, which indicate their likelihood to prefer various products, services, and activities.
{: #models-index} {: help} {: support}
The {{site.data.keyword.personalityinsightsshort}} service infers personality characteristics based on three primary models:
- Big Five personality characteristics represent the most widely used model for generally describing how a person engages with the world. The model includes five primary dimensions: Agreeableness, Conscientiousness, Extraversion, Emotional range, and Openness. Each dimension has six facets that further characterize an individual according to the dimension.
- Needs describe which aspects of a product are likely to resonate with a person. The model includes twelve characteristic needs: Excitement, Harmony, Curiosity, Ideal, Closeness, Self-expression, Liberty, Love, Practicality, Stability, Challenge, and Structure.
- Values describe motivating factors that influence a person's decision making. The model includes five values: Self-transcendence / Helping others, Conservation / Tradition, Hedonism / Taking pleasure in life, Self-enhancement / Achieving success, and Open to change / Excitement.
For more information, see Personality models.
{: #preferences-index} {: help} {: support}
Based on the personality characteristics that are inferred from the input text, the service can also return an indication of the author's consumption preferences. Consumption preferences indicate the author's likelihood to pursue different products, services, and activities. The service groups the individual preferences into eight categories: Shopping, Music, Movies, Reading and learning, Health and activity, Volunteering, Environmental concern, and Entrepreneurship. Each category contains from one to as many as a dozen individual preferences.
For more information, see Consumption preferences.
{: #benefits}
As a core service of the {{site.data.keyword.ibmwatson}} platform, the {{site.data.keyword.personalityinsightsshort}} service can provide insights that help businesses
- Understand their customers at a deeper level by learning their clients' preferences, improving customer satisfaction, and strengthening client relations.
- Improve client acquisition, retention, and engagement.
- Guide highly personalized engagements and interactions to better tailor their products, services, campaigns, and communications for individual clients.
For more information about how you can benefit from the service, see Use cases.
{: #languages-index} {: help} {: support}
The service supports the following languages. You can use any combination of supported languages for the request and response, but all input text must be in the same language. For more information, see Specifying request and response languages.
| Request languages | Response languages |
|---|---|
| Arabic English Japanese Korean Spanish |
Arabic English Japanese Korean Spanish Brazilian Portuguese French German Italian Simplified Chinese Traditional Chinese |
| {: caption="Table 1. Supported languages"} |
{: hipaa}
US Health Insurance Portability and Accountability Act (HIPAA) support does not apply to the {{site.data.keyword.personalityinsightsshort}} service. The service is stateless. It stores no user data on {{site.data.keyword.cloud_notm}}.
{: #learn-index}
- A quick demo{: external} of the {{site.data.keyword.personalityinsightsshort}} service analyzes input text to develop a personality portrait that includes consumption preferences for the author.
- The service in action and The science behind the service provide information about the research that underlies the service.
- The {{site.data.keyword.personalityinsightsshort}} service in the {{site.data.keyword.cloud_notm}} Catalog{: external} describes the pricing plans that are available for the service.