canary utilizes Twitter's Streaming API to gather tweets based on the user's search. Each tweet that is streamed is processed and given a sentiment ranking using the TextBlob Python library sentiment analysis. Some revisions in this department lay in store. The user is displayed graphical data related to the overall sentiment of tweets based on their search, along with corresponding tweet origin (when available).
- User enters topic or keyword.
- canary intitializes streaming connection with Twitter API with user's keyword as query string.
- As tweets are processed, user will be displayed graphical reflection of analyzed data.
- After user has discontinued current stream, user can enter new topic or keyword and begin a new analysis.
Contact me with any questions.
- Django
- Tweepy
- TextBlob
- Steven Holmes - stevenwally