Updated Dashboard

UndergraduateArtificialIntelligenceClub · Apr 5, 2024 · b1f6b6f · b1f6b6f
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diff --git a/public/images/NHL_Positivity_Index/mar16_mar31_dashboard.png b/public/images/NHL_Positivity_Index/mar16_mar31_dashboard.png
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 <h1 style="text-align: center;">NHL Positivity Index</h1>
 
-![Current Dashboard](../../public/images/NHL_Positivity_Index/mar1_mar15_dashboard.png "Current Dashboard: March 1st to March 15th, 2024")
+![Current Dashboard](../../public/images/NHL_Positivity_Index/mar16_mar31_dashboard.png "Current Dashboard: March 16th to March 31st, 2024")
 
 We were inspired by the engaging and insightful ["Panic Index"](https://www.youtube.com/playlist?list=PL4KmQCGTJmgz9urZusFDiGC9Bzh2S67gM) series by YouTuber Shannon Skanes, also known as the Hockey Guy, where he ranks NHL teams based on their perceived level of panic at key moments throughout the season. Intrigued by this unique perspective on team performance, we wondered: Could we quantify the underlying sentiment of NHL fanbases in a similar vein? Thus, the NHL Positivity Index was born. Our project aims to quantitatively assess how positive or negative an NHL fanbase feels over a given period using artificial intelligence techniques. Specifically, we leverage natural language processing and sentiment analysis to analyze fan discussions and media commentary. By dissecting the tone and mood from Reddit, we seek to provide a comprehensive measure of fanbase sentiment.