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How New York Are You? by Jenna Xu - Experiments with Google
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class="gray">May 2019 | By <a href="https://www.xujenna.com" target="_blank">Jenna Xu</a> </p><p style="margin-top:10px;width:90%">A voice-controlled browser game where two players compete to be crowned the realest New Yorker. </p> <div class="action-button-holder" style="margin-top:25px"> <a class="button hollow caps" href="https://xujenna.com/NYQuotient/" target="_blank" onclick="ga("send","event","Experiment Launch Button","Click","How New York Are You?")" aria-label="Launch How New York Are You? Experiment" nonce="PvKkHvO-YWRi-VJ0xw5D5PbD3pUCYSlc"> Launch experiment </a> <a class="button hollow caps" href="https://github.com/xujenna/xujenna.com/tree/master/new/NYQuotient" target="_blank" onclick="ga('send', 'event', 'Experiment Get Code Button', 'Click', 'How New York Are You?)" aria-label="View How New York Are You? Experiment Source Code" nonce="PvKkHvO-YWRi-VJ0xw5D5PbD3pUCYSlc"> Get the code </a> </div></div><div class="cont-right"><h3 class="caps small">Collections:</h3><div id="collections-holder" style="display:block"> <a class="collection" href="/collection/chrome">Chrome Experiments</a> <a class="collection" href="/collection/voice">Voice Experiments</a> </div></div></div> <div class="video-holder" data-exp-name="How New York Are You?" style="cursor:default"> <img class="video-cover-image gif-image" src="https://lh3.googleusercontent.com/sTK-vLeBxm62fDCbAdt5nMC8YtKzbBz2doOP1A-kUcriw-Kwckpg7EeqsX-w6lB5OjF64fsUeFYxsSnZ93A_TDBGJz3h7w" style="position:static" alt="" 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"> </div> <div id="featured-holder"><div class="featured-img-holder"><img class="featured-img" src="https://lh3.googleusercontent.com/CmGmMakYr65Z1qtZ8B53vs44LFLak5fSLDiVemKKy2Cg9_XJvpciFFk6X-2n4wKaeMqJK1kou-_OoyioUv_sqxmTWtOZ3A" alt="" data-img-alt=""></div> <div class="featured-img-holder"><img class="featured-img" src="https://lh3.googleusercontent.com/3rDO_LSMux1rNrh6ViqeEyREtr4WKLxQMJMs01QPbFgCBI40p7akNyEQb-kuNEGgMRUW317h3QzyVQlKbt7dYODHCXI1DA" alt="" data-img-alt=""></div> </div><div class="content-wrap single"><div class="content-twothird"><div class="content-block displaytext"><p>How New York are you? is a voice-controlled browser game where two players compete to be crowned the realest New Yorker. The computer volleys hot topic keywords from the past year, and each player will have one shot per topic to prove how aligned they are with most common New York opinions. The quicker and closer the response, the higher your New York Quotient.</p><p><br></p><p>How it works:</p><p>Each topic has a corresponding word2vec model that's trained on relevant tweets that originated in NYC from the past year. Word2vec analyzes corpora to find relationships among its words and embed them into a multidimensional space; the closer words are in this space, the more frequently they appear near each other in the corpus鈥攖hus, you can get a sense of what New Yorkers are tweeting, about which subjects, and with what frequency. Tensorflow.js then calculates the distances between words, which serves as the basis for the scoring system. The closer your responses are to the topic鈥攁nd the faster you respond鈥攖he higher you score. </p><p><br></p><p>For more details, see the documentation <a href="https://www.xujenna.com/ITP/NYQuotient/index.php" target="_blank">here</a>.</p></div> </div><div class="content-onethird"><h4 class="caps small">Built with: </h4><div id="tags-holder" style="display:block"> <a class="tag" href="/experiments?tag=Tensorflow.js">Tensorflow.js</a>, <a class="tag" href="/experiments?tag=Web+Speech+API">Web Speech API</a>, <a class="tag" href="/experiments?tag=D3.js">D3.js</a> </div></div></div></div></div><footer><div class="wrapper"><div class="google-logo"></div><div id="social-holder"><a href="https://www.google.com/policies/" target="_blank" class="social-icon">Privacy & Terms</a><div id="social-icons"><a class="social-icon" href="https://www.facebook.com/ExpWithGoogle/" target="_blank" aria-label="Link to our Facebook page"><img src="/static/img/social-fb.png" alt="facebook icon"></a></div></div></div></footer><div id="page-loader"><div id="txt-submitting">Submitting...</div><div id="txt-saving">Saving...</div></div><div id="sitemenu-icon"><span class="line1"></span> <span class="line2"></span> <span class="line3"></span></div><div id="overlay"><div id="overlay-closebtn"></div><div id="overlay-content-wrap"><div class="wrapper"><div id="overlay-content"></div></div></div></div><script src="//ajax.googleapis.com/ajax/libs/jquery/3.2.1/jquery.min.js" nonce="PvKkHvO-YWRi-VJ0xw5D5PbD3pUCYSlc"></script><script src="/static/js/vendors.js" nonce="PvKkHvO-YWRi-VJ0xw5D5PbD3pUCYSlc"></script><script src="/static/js/script.min.js" nonce="PvKkHvO-YWRi-VJ0xw5D5PbD3pUCYSlc"></script><script src="https://www.gstatic.com/glue/cookienotificationbar/cookienotificationbar.min.js" data-glue-cookie-notification-bar-category="2B"></script></body></html>