Real-time location-based Twitter sentiment analysis.
Discover public opinion about feeds in real time.
See where users are engaging live across the country and around the world.
Determine macro trends across hashtags for the duration of an event.
It all began with the feels. For centuries, humans have attempted to record the wide range of emotions they feel through literature and arts.
With an average daily volume of over 500 million tweets, Twitter is an incredible treasure trove of data. But what to do with this data?
Enter Emotimap. Emotimap integrates the old with the new by quantifying emotions through lexicon based sentiment analysis of Twitter tweets in real time.
A partial list of APIs and libraries used in the creation of Emotimap.
The Twitter Search API was used to search for and retrieve tweets that matched a keyword or hashtag. Then, the tweets were parsed and analyzed.
Learn moreLexicon based sentiment analysis and natural language processing was done using Microsoft Azure to measure tweet sentiments.
Learn moreWe used the Firebase database and web hosting service seemlessly integrate everything together, from the tweets to the website.
Learn moreThe MarkerClusterer library was used in conjunction with the Google Maps API to display tags to show tweet volume trends.
Learn morePotential audiences for Emotimap, from casual Twitter users to experienced social media gurus.
Curious about public opinion on trending topics
Receive instantaneous feedback on public opinion toward events
Make an immediate impact on target audiences
