Glossary of terms:
- Explicit - clearly stated, so there is no room for confusion or questions.
- Implicit – implied or suggested, but not clearly stated.
- Inference – a conclusion made based on both information/evidence and reasoning.
- Extrapolation - In broad terms, extrapolation can be likened to deduction or inference, which involves drawing conclusions about unknown factors from known information.
Enrichment Table: Explicit vs Inferred
|
Enrichment name (All based on Twitter Data) |
Description |
Explicit/Inferred |
|
Activity |
balance of activity of the account in terms of how much original content (Tweets), conversation (mentions) and sharing (Retweets) they have published |
Explicit |
|
Automation |
balance of activity of the account in terms of how many tweets are published manually or automatically |
Explicit |
|
Client App |
most used Twitter client app |
Explicit |
|
Days |
what days of the week the user is most active |
Explicit |
|
Devices |
most used devices |
Explicit |
|
Engagement |
amplification ratio (Retweets received/total Tweets posted) and applause (favorites received/total Tweets posted) |
Explicit |
|
Hours |
at what time the user is most active |
Explicit |
|
Languages |
most used languages |
Explicit |
|
Operating systems |
most used operating systems |
Explicit |
|
Platforms |
most used platforms |
Explicit |
|
admin3_code |
other administration levels, sometimes the postcode |
Inferred/Modeled |
|
admin4_code |
other administration levels |
Inferred/Modeled |
|
city |
Inferred/Modeled |
|
|
country |
Country name |
Inferred/Modeled |
|
country_code |
ISO-3166 2-letter country code, 2 characters |
Inferred/Modeled |
|
precision |
precision level, i.e. country, state, province or city |
Inferred/Modeled |
|
province |
Province name. 2nd level in the country, administrative level |
Inferred/Modeled |
|
province_code |
Province code. 2nd level in the country, administrative level |
Inferred/Modeled |
|
state |
State name. 1st level in the country administrative level |
Inferred/Modeled |
|
state_code |
State code. 1st level in the country administrative level |
Inferred/Modeled |
|
Interests |
IAB interests taxonomy. 5 levels of categorization |
Inferred/Modeled |
|
Gender |
Inferred/Modeled |
|
|
Entity type |
Inferred/Modeled |
|
|
Affinities Influencer/Brands |
Following % |
Explicit |
|
User ID |
Twitter user ID |
Explicit |
|
Twitter Handle |
to be translated and consistency check |
Explicit |
|
Name |
Explicit |
|
|
Location |
to be updated in-app / twitter bio location |
Explicit |
|
User Bio |
Explicit |
|
|
Language |
Explicit |
|
|
Time zone |
Explicit |
|
|
Has avatar |
Explicit |
|
|
URL |
Explicit |
|
|
Has URL |
Explicit |
|
|
Is protected |
Explicit |
|
|
Is verified |
Explicit |
|
|
Time since last tweet |
Explicit |
|
|
Followers |
Explicit |
|
|
Following |
Explicit |
|
|
Tweets count |
Explicit |
|
|
Listed count |
Explicit |
|
|
Followers ratio |
Explicit |
|
|
Tweets per day |
Explicit |
|
|
Affinity |
Explicit |
|
|
Age |
IBM Watson age recognition + Internal Heuristics |
Inferred/Modeled |
|
Personality Insights (Below) |
IBM Watson personality insights |
Inferred/Modeled |
|
Consumer Preferences (Below) |
IBM Watson personality insights |
Inferred/Modeled |