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Lawmakers are not accepted to be accustomed with technologies. Back the alpha of Donald Trump’s presidential run, Trump and bourgeois senators accept been claiming that chase engines are biased adjoin them.
At a contempo audition with Google’s CEO Sundar Pichai, some US senators were not agreeable with how they were portrayed in chase engines. This prompted me to investigate how absolutely they are portrayed.
Instead of administering accustomed accent assay of web chase results, I absitively to ambition article added intuitive: angel chase results.
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My ambition is to accumulate photos from the top chase after-effects (from the accomplished web, not from specific websites) of all 100 senators and Donald Trump, and advised the affections apparent in those photos.
After accepting the chase results, I again visualized the abstracts in a graph, with the x-axis baronial all senators in the adjustment of “the best conservative” to “the best liberal”, and the y-axis assuming their affect scores. With a bit of research, I absitively to use the “Ideology Score” (https://www.govtrack.us/congress/members/report-cards/2017/senate/ideology) from govtrack.us for the ranking, and some APIs provided by Microsoft to get and assay the photos.
After ambience the goal, as a artist who codes, I accomplished that I charge at atomic two APIs and some JavaScript libraries: one API for accepting the angel chase aftereffect from a chase engine, addition for allegory the affect in the photos, and some libraries like d3.js to advice me draw the blueprint on the webpage.
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I looked into the developer affidavit of a few of the best accepted chase engines in the US: Google, Bing, Yahoo and DuckDuckGo.
However, Yahoo deprecated their chase API in 2016 and DuckDuckGo never offered an angel chase API at all. Google replaced its old chase API which was able to chase the accomplished web with the new custom chase API which alone allows users to chase in specific websites.
Fortunately, Microsoft’s Bing Angel Chase API (https://azure.microsoft.com/en-us/services/cognitive-services/bing-image-search-api/) meets my belief perfectly. The API provides an acquaintance agnate to Bing’s built-in angel chase action by abiding images that their algorithm determines are accordant to a user’s query.
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As for the affect assay API, I had to accept amid Microsoft’s Face API (https://azure.microsoft.com/en-us/services/cognitive-services/face/) and Parallel Dot’s Affect Detection API(https://www.paralleldots.com/facial-emotion). Although Parallel Dot’s API seems to accomplish bigger results, the amount absolute was so aerial that it will booty the browser 16 hours to accomplishment sending the HTML requests. Also, back I am application the Bing Angel Chase API already, it is easier for me to administer the Ajax calls, which allotment agnate endpoints and structures in my code.
Rate limitOriginally, I hoped that users could get beginning angel chase after-effects back they appointment the website, but due to the Face API’s amount absolute of 10 calls per second, I had to manually apathetic bottomward the processing and would not be able to action images in real-time, at atomic not after sacrificing the user experience.
SVG drawingAlthough I accept the 300,000 pieces of abstracts at my disposal, how can I draw them on a blueprint efficiently? Even with my acquaintance application the d3.js charting library, I absitively I shouldn’t reinvent the wheel. In the end, I chose to use plotly.js (https://plot.ly/).
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