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JetBlue Customer Feedback Sentiment Analysis
Utilizing google cloud machine learning API's and parallel processing datamining for customer evaluation trend analysis. Combining machine learning w/ mass data scraping for information visualization
We scrap and present from a variety of public sources to help JetBlue tune in to its customers
A webapp that gathers data from different social media sites and analyzes this data with Google Cloud Services in order to quickly generate sentiment towards a given keyword.
What's better than a brand you can trust? A human you can trust! Our goal is to emphasize the human culture around JetBlue through compilation of web-scraped data and analysis through multiple tools.
A real-time social media monitoring system to track customer behaviors towards brands by identifying sentiments fluctuation, analyzing trending topics and geographic segmentation.
Understanding customers is critical to any business. We develop a robust pipeline to aggregate customer sentiment from social media and review sites to develop business insights. Client #1: JetBlue.
Tweets back Spotify playlist based on specified artists
Helping people navigate their city safer
College student portals don't offer more than your grades. Our system adds a visually appealing way to view your academics, connect with professors, and learn about campus events.
A web-app that helps manage savings accounts based on users' mood, as well as other factors such as weather,etc.
Inspirational messages to keep living
AI for the PROPer you
Social Media platforms have created huge amounts of unstructured data. Our model derives sentiment of Twitter Data.
With social media sparking conversation on important topics, we wanted to help make these conversation to be more impactful. Our app gives users on social media access to resources that my be helpful.
Web application that assesses safety and attitude of a public event using social media platforms, natural language processing, and computer vision
Perspective Bot is a Chrome Extension where we can search for the news we see on the internet and get more context about it.
Local Trend Analyser
Stock analyzation powered by Twitter using Google's Cloud Natural Language API, the Wikidata Query Service.
Searches a keyword in the Twitter API, user guesses how many tweets the word appears in or four tweets are listed and the user guesses which has the most retweets or favorites
Create a social community that encourages its users to live an eco-friendly life.
A customer journey with a bank should be transparent and effortless. We present our solution of using blockchain and AI to provide a customer centric and transparent experience.
Around the world in 140 characters. See what the news looks like from a world view in a cool data visualization.
How much can one person's tweets tip the scales? Try your hand at manipulating the market.
