The document describes a geotag-based web app called InsideScoopApp that helps tourists in New York City discover popular local spots by analyzing the ratio of geotagged tweets in NYC compared to worldwide and identifying locations that are tweeted about more frequently by locals than tourists. The app works by gathering geotagged tweet data from Twitter and place data from Google, storing it in a MySQL database, and using tools like Python, MySQLdb, Flask, TwitterBootstrap, jQuery, and AWS to analyze the data, build a predictive model, and develop the web interface.
The document describes a geotag-based web app called InsideScoopApp that helps tourists in New York City discover popular local spots by analyzing geo-tagged tweets. It notes that tourists make up 20% of geo-tweets in NYC compared to worldwide. The app works by gathering geo-tweet data through Twitter and Google APIs, storing it in a database, and using tools like Python, HTML, JavaScript and AWS to analyze the data and build a model to recommend local hotspots to visitors.
The document describes a geotag-based web app called InsideScoopApp that helps tourists in New York City discover popular local spots by analyzing the ratio of geotagged tweets in NYC versus worldwide and identifying locations that are tweeted about more within the city. It works by gathering geotagged tweet data from Twitter's API, location data from Google Maps API, storing the data in a MySQL database, and using tools like Python, MySQLdb and Flask to analyze the data and build a model to surface local favorites.
The document describes a geotag-based web app called InsideScoopApp that helps tourists in New York City discover popular local spots by analyzing the ratio of geotagged tweets in NYC versus worldwide and identifying locations that are tweeted about more within the city. It works by gathering geotagged tweet data from Twitter's API, location data from Google Maps API, storing the data in a MySQL database, and using tools like Python, MySQLdb and Flask to analyze the data and build a model to surface local favorites.
The document discusses building branded mobile apps. It notes that brands can now engage customers through apps in many ways like entertainment, content, gaming and transactions. It asks important questions about the purpose of an app, brand values, target customers and how success will be measured. The document provides examples of different types of branded apps like games, augmented reality, customer service and transactions. It cautions that most free apps are not used after the first month and says apps need an ongoing experience rather than just novelty to truly engage customers.
I often do art using my photos, or, in this case, NASA artists' concepts. Selections I use are from my own faith, Sayings of The Buddha, Islam, The Bible and more.
Alpina is a vertically organized company with a president who oversees the entire organization along with a board of directors. The company operates according to a hierarchical structure with different levels. The president's roles include creating the vision and strategy, leading other executives, and overseeing operations. General managers supervise individual offices and plants. The marketing manager develops strategies and manages the marketing mix. The human resources department handles recruitment, employee relations, compensation, and training. The logistics department plans and manages the flow of goods. The sales department manages channel partners and negotiates contracts.
The document describes a geotag-based web app called InsideScoopApp that helps tourists in New York City discover popular local spots by analyzing geo-tagged tweets. It notes that tourists make up 20% of geo-tweets in NYC compared to worldwide. The app works by gathering geo-tweet data through Twitter and Google APIs, storing it in a database, and using tools like Python, HTML, JavaScript and AWS to analyze the data and build a model to recommend local hotspots to visitors.
The document describes a geotag-based web app called InsideScoopApp that helps tourists in New York City discover popular local spots by analyzing the ratio of geotagged tweets in NYC versus worldwide and identifying locations that are tweeted about more within the city. It works by gathering geotagged tweet data from Twitter's API, location data from Google Maps API, storing the data in a MySQL database, and using tools like Python, MySQLdb and Flask to analyze the data and build a model to surface local favorites.
The document describes a geotag-based web app called InsideScoopApp that helps tourists in New York City discover popular local spots by analyzing the ratio of geotagged tweets in NYC versus worldwide and identifying locations that are tweeted about more within the city. It works by gathering geotagged tweet data from Twitter's API, location data from Google Maps API, storing the data in a MySQL database, and using tools like Python, MySQLdb and Flask to analyze the data and build a model to surface local favorites.
The document discusses building branded mobile apps. It notes that brands can now engage customers through apps in many ways like entertainment, content, gaming and transactions. It asks important questions about the purpose of an app, brand values, target customers and how success will be measured. The document provides examples of different types of branded apps like games, augmented reality, customer service and transactions. It cautions that most free apps are not used after the first month and says apps need an ongoing experience rather than just novelty to truly engage customers.
I often do art using my photos, or, in this case, NASA artists' concepts. Selections I use are from my own faith, Sayings of The Buddha, Islam, The Bible and more.
Alpina is a vertically organized company with a president who oversees the entire organization along with a board of directors. The company operates according to a hierarchical structure with different levels. The president's roles include creating the vision and strategy, leading other executives, and overseeing operations. General managers supervise individual offices and plants. The marketing manager develops strategies and manages the marketing mix. The human resources department handles recruitment, employee relations, compensation, and training. The logistics department plans and manages the flow of goods. The sales department manages channel partners and negotiates contracts.
The document describes a geotag-based web app called InsideScoopApp that helps tourists in New York City discover popular local spots by analyzing geo-tagged tweets. It notes that tourists make up 20% of geo-tweets in NYC compared to worldwide. The app works by gathering geo-tweet data through Twitter and Google APIs, storing it in a database, and using tools like Python, HTML, JavaScript and AWS to analyze the data and build a model to recommend local hotspots to visitors.
The document describes a geotag-based web app called InsideScoopApp that helps tourists in New York City discover places frequented by locals. It notes that 20% of geo-tweets worldwide come from NYC, showing higher activity from locals. It outlines the process of gathering data from Twitter and Google APIs, storing it in a MySQL database, and analyzing and building the app model using tools like Python, Flask, and AWS.
This document describes an app called InsideScoop that helps tourists in New York City discover popular local spots by analyzing geotagged tweets. It shows that 20% of tweets in NYC are from tourists, compared to worldwide. The app gathers data from Twitter, Google Maps, and Google Places APIs, stores it in a MySQL database, and uses Python, HTML, JavaScript and AWS to analyze the data and build a model to identify local hotspots. It is being created by Yiqiao Tang, a physics student at Harvard.
The document describes a web app called InsideScoopApp that helps tourists in Mountain View discover popular local spots by analyzing geotagged check-in data. The app shows the percentage of check-ins at different locations made by tourists versus local residents to highlight places frequented by locals.
This document introduces a geotag-based web app called InsideScoopApp that helps tourists in New York City discover popular local spots. The app analyzes geo-tagged tweets to see where locals frequent most often, as locals make up about 20% of geo-tagged posts in NYC compared to worldwide. It uses APIs from Twitter, Google Maps, and Google Places and utilizes technologies like Python, HTML, JavaScript, and AWS to gather geo-data from tweets, analyze it to build a model, and display popular local places and businesses on an interactive map.
The document describes a geotag-based web app called InsideScoopApp that helps tourists in New York City discover popular local spots by analyzing geo-tagged tweets. It notes that tourists make up 20% of geo-tweets in NYC compared to worldwide. The app works by gathering geo-tweet data through Twitter and Google APIs, storing it in a database, and using tools like Python, HTML, JavaScript and AWS to analyze the data and build a model to recommend local hotspots to visitors.
The document describes a geotag-based web app called InsideScoopApp that helps tourists in New York City discover places frequented by locals. It notes that 20% of geo-tweets worldwide come from NYC, showing higher activity from locals. It outlines the process of gathering data from Twitter and Google APIs, storing it in a MySQL database, and analyzing and building the app model using tools like Python, Flask, and AWS.
This document describes an app called InsideScoop that helps tourists in New York City discover popular local spots by analyzing geotagged tweets. It shows that 20% of tweets in NYC are from tourists, compared to worldwide. The app gathers data from Twitter, Google Maps, and Google Places APIs, stores it in a MySQL database, and uses Python, HTML, JavaScript and AWS to analyze the data and build a model to identify local hotspots. It is being created by Yiqiao Tang, a physics student at Harvard.
The document describes a web app called InsideScoopApp that helps tourists in Mountain View discover popular local spots by analyzing geotagged check-in data. The app shows the percentage of check-ins at different locations made by tourists versus local residents to highlight places frequented by locals.
This document introduces a geotag-based web app called InsideScoopApp that helps tourists in New York City discover popular local spots. The app analyzes geo-tagged tweets to see where locals frequent most often, as locals make up about 20% of geo-tagged posts in NYC compared to worldwide. It uses APIs from Twitter, Google Maps, and Google Places and utilizes technologies like Python, HTML, JavaScript, and AWS to gather geo-data from tweets, analyze it to build a model, and display popular local places and businesses on an interactive map.
1. Where do you want to go in the New York City?
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2. Where do you want to go in the New York City?
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3. www.InsideScoopApp.com:
A geotag-based web app that helps tourists discover the
space where locals frequent.
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4. Tourists ratio of geo-tweets in NYC over worldwide Locals
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5. Tourists ratio of geo-tweets in NYC over worldwide Locals
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6. Tourists ratio of geo-tweets in NYC over worldwide Locals
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7. 20 %
Tourists ratio of geo-tweets in NYC over worldwide Locals
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8. 20 %
Tourists Locals
Tourists ratio of geo-tweets in NYC over worldwide Locals
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9. 20 %
Tourists Locals
Tourists ratio of geo-tweets in NYC over worldwide Locals
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10. 20 %
Tourists Locals
Tourists ratio of geo-tweets in NYC over worldwide Locals
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11. 20 %
Tourists Locals
Tourists ratio of geo-tweets in NYC over worldwide Locals
1
2
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12. 20 %
Tourists Locals
Tourists ratio of geo-tweets in NYC over worldwide Locals
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13. Put data in Analyze/
Gather data
database Build model
•Twitter API •MySQL •Python
•Google Map API •MySQLdb/Flask
•Google Place API •TwitterBootstrap
•jQuery
•AWS
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