multilayersentiment

a)First layer Sentiment/Emotion Analysis

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First primary sentiment/emotion is derived corresponding to campaign.

First round of Captcha runs for a short period of time depending on nature of campaign.

Here is the Analytics Captcha Image corresponding to first layer Sentiment Analysis.

After, first round of Analytics Captcha run,

If overall sentiment for Adidas campaign is positive, emoticon Analysis is cool, then we need to further analyse. if fine grained emotion analysis is super cool i.e extremely positive or simply cool.

b)Second Layer Sentiment/Emotion Analysis

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After deriving primary sentiment for the campaign via first layer Captcha, second layer captcha runs which measures degree of emotion in greater depth.

For example, if primary sentiment for a shoe sale ad campaign is cool, three positive emotions are picked such as super cool, Magnificent.

Intent of choosing emotions on a positive scale is to determine, how positive a user is corresponding to campaign to determine whether it will be good or it will be a superhit.

If overall sentiment/emotion analysis of Adidas image is cool.

Here is Analytics Captcha Image corresponding to Second Layer Sentiment Analysis.

As it can be seen, all the emotions to be picked from Captcha Image are from positive scale, Only positive emotions are embedded in Captcha image to figure out if Overall Sentiment/Emotion Analysis of Adidas campaign is cool or super cool.

One can drag appropriate smiley in submit box to solve captcha as well.

c) Sentiment corresponding to media is also derived by measuring its sentiment from social media tools and then results can be compared from those generated by Analytics Captcha above.

As it can be seen, if we measure sentiment from social media tools such as twitter and other social media tools, we get following report for different sports brand which consists of positive,negative or neutral sentiment, for detailed and deep sentiment Analysis, we will have to use Analytics Captcha.