Check out my new Shiny web application designed with R (majority), Shiny, tailored CSS and HTML5. With this application, you can analyze sentiments of not just movies but also a brand, a product or a personality. It uses tweeple’s post(tweet) as its data set. It’s been trained with “Naive Bayes Model” attaining 86% accuracy having trained for 10K rows of texts. You can also visualize the location of tweets with this application that uses interactive, dynamic Open Street Maps(OSM). Its been designed to suit well on smartphones too.
Click here to get redirected to the application
I would love to hear your valuable feedback.
Performance analysis of my Naive Bayes Model vs. Existing models on Naive Bayes
I’d like to express my profound gratitude towards my data science tutors, one Mr. Vladimir Kirilenko and Mr. Ali Santacruz. Without them this work of mine would’ve been just a night mare! Thank you once again sir @Vladimir and @Santacruz! Your timely help and guidance cannot be calibrated.
Excellent work Solomon! Your app works quite well and the graphic user interface has a very easy-to-use design. Congratulations!
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Thank you so much. It is just an outcome of your training 😀
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Hi…Solomon..unable to open the application…is the application down ?
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My apologies @Gautam ! Users have consumed almost 20 hours out of 25 active hours provided. So, I’ve put it down as I need to run it for my project demonstration purposes. Will revert to you once it is open.
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hello Salomon! please let me know when is open, i want to show your application to my team here in Chile!
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The link is up and it is open now @Iair! You can see it.
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Hello Salomon, Plase let me know when is open again, i would love to show this work to my students.
Regards!
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Sure! Definitely @Iair
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The link is up and it is open now @Iair! You can see it.
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