Key Features • Documentation • Contributers • License
Media Bias in Boston is an innovative application harnessing the techniques of NLP to revolutionize the way we interact with news data. This application is designed to intelligently read and identify the key topics within news articles, and then accurately pin them to their relevant geographical locations for advanced data analytics.
- Topic Identification: With our topic modeling and entity recognition, we utilize state of the art NLP to scan news articles and identify core topics, ranging from politics and finance to technology and health.
- Simply upload articles based on our data schema and you are done!
- Geographical Pinning: Each identified topic is geographically tagged, linking the content to specific global locations, enhancing the understanding of regional news trends.
- Our system is adaptable for any location as we use the Census tracks provieded by the U.S Census.
- Data Analytics Interface: Offers a robust analytics dashboard, allowing users to visualize and analyze trends based on topics and their geographical distribution.
- Real-Time Updates: Continuously updates with the latest news, ensuring the data is current and reflective of ongoing global events.
- We soon will offer real-time email updates on the latest news analytics giving you powerful insights at a moment's notice
- User-Friendly Interface: Designed with the user in mind, ensuring ease of use for individuals with varying levels of technical expertise.
We provide an awesome gitbook to walk-through the use of the product and useful information for developers jumpstarting this project!
https://bu-naacp-media-bias.gitbook.io/sparkmediabias/
malbaker |
Li Xi |
Nawafds |
Zachary1575 |
dagon8 |
asad |
Ian |
If you would like to contribute, please reach out to BU Spark! or BU SAIL
BU Spark! - https://www.bu.edu/spark/contact-us/
BU SAIL - https://sail.bu.edu/contact
We thank the following institutions for making this project possible!
MIT
https://www.bu.edu/spark/ · GitHub @BUSpark! ·