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Recommendations are words that the user can add to enrich his or her segment and are proposed based on their similarity in relation to the seedword. The user can see recommendations for a particular seedword by clicking on it. Once the recommendations have loaded, the user can then click on the words they would like to add to the segment. To see more recommendations, the user can click on “Next” in the bottom right corner of the section or “Prev” to see the previous set of words. A whole page of recommendations can also be added to the “Words” column by clicking on the “Add this page” button in the bottom left corner.
Specificity
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The words that appear in the “Recommendations” section are color-coded according to how specific they are. Specificity is an absolute value attached to a given word; it reflects how rare a word is in the language. The value is computed on a wide reference corpus.
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On the right in the “Words” section, the user will be able to see all of the words being added to the new segment, which includes seedwords and any recommendations added. A maximum of 50 100 words can be added. Seedwords are color-coded in blue. Suggestions are color-coded according to their specificity (red, orange, green) and will appear in descending similarity to the seedword.
If the user wishes to make any changes to the word list, by clicking on the icon in the upper right corner he or she will be able to multi-select the words and perform a number of actions. This includes removing selected words, removing words that are not seedwords, and completely emptying the list.
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Audience Estimate
The Audience Estimate for the segment will be visible in the upper right corner of the segment creation screen. Audience Estimate is computed through the Semantic Matching technique. The matching audience number will rely on specificity and the number of added words. Words with a low specificity will generate a larger audience as the words are common, whereas words with a higher specificity will have a smaller audience. Audience estimate takes account of all words in the segment which is being created. It is therefore a lower number than the sum of the audience estimates attached to all words, one by one.
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