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scramblingbalam / Alta_Real

The python back end of a data product that aims to get at the truthiness of Trump's tweets. It uses PyStruct.EdgeFeatureGraphCRF to leverage the tree structure of twitter replies to gage veracity by the amount of support of denial that his tweets elicit.
MIT License
1 stars 0 forks source link

SWOT: approch Save order>1 replies to `db.replies_to_trump` #52

Closed scramblingbalam closed 7 years ago

scramblingbalam commented 7 years ago

Analysis of #49

scramblingbalam commented 7 years ago

Strengths: Single collection allows single mongo query to listen to all users who could reply

Weaknesses : collection could get really big solution: filter by time, only searching to:users who have tweeted inn last Xhours use multiple twitter auths one for each time span back ie. 0-24 hours, 24-48 hours

Opportunities: allows for streaming to work more effectively flat structure allows search to continue to capture users in conversation with their replies

Threats: Adding more users to search could limit stream effectiveness, ie. complex logic could make tweets drop