copyright | lastupdated | subcollection | ||
---|---|---|---|---|
|
2019-03-07 |
personality-insights |
{:shortdesc: .shortdesc} {:new_window: target="_blank"} {: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'}
{: #outputCSV}
The service returns the results of its analysis in comma-separated values (CSV) format when you specify text/csv
with the Accept
header of a request. CSV output provides information that is similar to the information provided by JSON output. As with JSON, the information in the CSV output depends on whether the input data is timestamped and whether you request raw scores and consumption preferences.
{: shortdesc}
CSV output, unlike JSON, is returned as a fixed number of columns. The first row of the output consists of optional column labels, which are included only if you set the csv_headers
query parameter of the request to true
. The second row of the output, which is always present, contains the results of the analysis.
The following sections list and briefly describe all columns of the CSV output in the exact order in which they appear in the results. The tables describe the columns by logical grouping, including the number of columns in each group and their optional labels. Other than the word count, all numeric data is returned as double values.
For more information about the meaning of the CSV columns, see Understanding a JSON profile and Interpreting the numeric results.
{: #basicCSV}
The following columns are always present in the CSV output for all requests.
Grouping (Number of columns) |
Optional labels | Description |
---|---|---|
Big Five Agreeableness percentiles (Seven columns) |
big5_agreeableness facet_altruism facet_cooperation facet_modesty facet_morality facet_sympathy facet_trust |
Normalized percentile score for the author of the text for the named dimension or facet. |
Big Five Conscientiousness percentiles (Seven columns) |
big5_conscientiousness facet_achievement_striving facet_cautiousness facet_dutifulness facet_orderliness facet_self_discipline facet_self_efficacy |
Normalized percentile score for the author of the text for the named dimension or facet. |
Big Five Extraversion percentiles (Seven columns) |
big5_extraversion facet_activity_level facet_assertiveness facet_cheerfulness facet_excitement_seeking facet_friendliness facet_gregariousness |
Normalized percentile score for the author of the text for the named dimension or facet. |
Big Five Emotional range percentiles (Seven columns) |
big5_neuroticism facet_anger facet_anxiety facet_depression facet_immoderation facet_self_consciousness facet_vulnerability |
Normalized percentile score for the author of the text for the named dimension or facet. |
Big Five Openness percentiles (Seven columns) |
big5_openness facet_adventurousness facet_artistic_interests facet_emotionality facet_imagination facet_intellect facet_liberalism |
Normalized percentile score for the author of the text for the named dimension or facet. |
Needs percentiles (Twelve columns) |
need_liberty need_ideal need_love need_practicality need_self_expression need_stability need_structure need_challenge need_closeness need_curiosity need_excitement need_harmony |
Normalized percentile score for the author of the text for the named need. |
Values percentiles (Five columns) |
value_conservation value_hedonism value_openness_to_change value_self_enhancement value_self_transcendence |
Normalized percentile score for the author of the text for the named value. |
Days of the week percentages (Seven columns) |
behavior_sunday behavior_monday behavior_tuesday behavior_wednesday behavior_thursday behavior_friday behavior_saturday |
If the input text is timestamped, the percentage of the
input that is associated with each day of the week. Otherwise,
all percentages are 0.0 .
|
Hours of the day percentages (Twenty-four columns) |
behavior_0000 through behavior_2300 |
If the input text is timestamped, the percentage of the
input that is associated with each hour of the day. Otherwise,
all percentages are 0.0 .
|
Word count and language (Two columns) |
word_count processed_language |
An integer that indicates the number of words present in the input text, and a two-letter identifier for the language model that the service used to analyze the text. |
{: #rawCSV}
The following columns are present only if you request raw scores by setting the raw_scores
query parameter to true
. In all cases, the column is a double value that provides the author's raw score for the dimension, facet, need, or value.
Grouping (Number of columns) |
Optional labels |
---|---|
Big Five Agreeableness raw scores (Seven columns) |
big5_agreeableness_raw facet_altruism_raw facet_cooperation_raw facet_modesty_raw facet_morality_raw facet_sympathy_raw facet_trust_raw |
Big Five Conscientiousness raw scores (Seven columns) |
big5_conscientiousness_raw facet_achievement_striving_raw facet_cautiousness_raw facet_dutifulness_raw facet_orderliness_raw facet_self_discipline_raw facet_self_efficacy_raw |
Big Five Extraversion raw scores (Seven columns) |
big5_extraversion_raw facet_activity_level_raw facet_assertiveness_raw facet_cheerfulness_raw facet_excitement_seeking_raw facet_friendliness_raw facet_gregariousness_raw |
Big Five Emotional range raw scores (Seven columns) |
big5_neuroticism_raw facet_anger_raw facet_anxiety_raw facet_depression_raw facet_immoderation_raw facet_self_consciousness_raw facet_vulnerability_raw |
Big Five Openness raw scores (Seven columns) |
big5_openness_raw facet_adventurousness_raw facet_artistic_interests_raw facet_emotionality_raw facet_imagination_raw facet_intellect_raw facet_liberalism_raw |
Needs raw scores (Twelve columns) |
need_liberty_raw need_ideal_raw need_love_raw need_practicality_raw need_self_expression_raw need_stability_raw need_structure_raw need_challenge_raw need_closeness_raw need_curiosity_raw need_excitement_raw need_harmony_raw |
Values raw scores (Five columns) |
value_conservation_raw value_hedonism_raw value_openness_to_change_raw value_self_enhancement_raw value_self_transcendence_raw |
{: #significantCSV}
The following columns are always present in the CSV output for all requests. In all cases, the column is a boolean value that indicates whether the dimension, facet, need, or value is meaningful for the processed input language.
Grouping (Number of columns) |
Optional labels |
---|---|
Big Five Agreeableness significance (Seven columns) |
big5_agreeableness_significant facet_altruism_significant facet_cooperation_significant facet_modesty_significant facet_morality_significant facet_sympathy_significant facet_trust_significant |
Big Five Conscientiousness significance (Seven columns) |
big5_conscientiousness_significant facet_achievement_striving_significant facet_cautiousness_significant facet_dutifulness_significant facet_orderliness_significant facet_self_discipline_significant facet_self_efficacy_significant |
Big Five Extraversion significance (Seven columns) |
big5_extraversion_significant facet_activity_level_significant facet_assertiveness_significant facet_cheerfulness_significant facet_excitement_seeking_significant facet_friendliness_significant facet_gregariousness_significant |
Big Five Emotional range significance (Seven columns) |
big5_neuroticism_significant facet_anger_significant facet_anxiety_significant facet_depression_significant facet_immoderation_significant facet_self_consciousness_significant facet_vulnerability_significant |
Big Five Openness significance (Seven columns) |
big5_openness_significant facet_adventurousness_significant facet_artistic_interests_significant facet_emotionality_significant facet_imagination_significant facet_intellect_significant facet_liberalism_significant |
Needs raw significance (Twelve columns) |
need_liberty_significant need_ideal_significant need_love_significant need_practicality_significant need_self_expression_significant need_stability_significant need_structure_significant need_challenge_significant need_closeness_significant need_curiosity_significant need_excitement_significant need_harmony_significant |
Values significance (Five columns) |
value_conservation_significant value_hedonism_significant value_openness_to_change_significant value_self_enhancement_significant value_self_transcendence_significant |
{: #preferenceCSV}
The following columns are present only if you request consumption preferences by setting the consumption_preferences
query parameter to true
. In all cases, the column is a double value that reports the likelihood that the author prefers the named consumption topic.
Grouping (Number of columns) |
Optional labels |
---|---|
Purchasing preferences category scores (Twelve columns) |
consumption_preferences_spur_of_moment consumption_preferences_credit_card_payment consumption_preferences_influence_brand_name consumption_preferences_influence_utility consumption_preferences_online_ads consumption_preferences_social_media consumption_preferences_family_members consumption_preferences_clothes_quality consumption_preferences_clothes_style consumption_preferences_clothes_comfort consumption_preferences_automobile_ownership_cost consumption_preferences_automobile_safety |
Music preferences category scores (Nine columns) |
consumption_preferences_music_rap consumption_preferences_music_country consumption_preferences_music_r_b consumption_preferences_music_hip_hop consumption_preferences_music_live_event consumption_preferences_music_playing consumption_preferences_music_latin consumption_preferences_music_rock consumption_preferences_music_classical |
Health and activity preferences category scores (Three columns) |
consumption_preferences_gym_membership consumption_preferences_outdoor consumption_preferences_eat_out |
Movie preferences category scores (Ten columns) |
consumption_preferences_movie_romance consumption_preferences_movie_adventure consumption_preferences_movie_horror consumption_preferences_movie_musical consumption_preferences_movie_historical consumption_preferences_movie_science_fiction consumption_preferences_movie_war consumption_preferences_movie_drama consumption_preferences_movie_action consumption_preferences_movie_documentary |
Reading preferences category scores (Five columns) |
consumption_preferences_read_frequency consumption_preferences_books_entertainment_magazines consumption_preferences_books_non_fiction consumption_preferences_books_financial_investing consumption_preferences_books_autobiographies |
Volunteering preferences category scores (One column) |
consumption_preferences_volunteer |
Environmental concern preferences category scores (One column) |
consumption_preferences_concerned_environment |
Entrepreneurship preferences category scores (One column) |
consumption_preferences_start_business |