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hamemuh / UKelections2017

Sentiment analysis to forecast the outcome of the UK 2017 snap election.
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First sentiment outputs for Sprint 1 #9

Closed mn1510 closed 7 years ago

mn1510 commented 7 years ago
  1. Python code adjustment
  2. Sentiment analysis method
  3. Understanding python code location
jcalcutt commented 7 years ago

For 'practice' data: mongo IP: 10.50.0.128:27017 twitterdb -> testfilter3

mn1510 commented 7 years ago

Deliverables for Week 1: Documentation write up for all workpoints assigned to everyone

  1. Mohsin - Initial Sentiment line graph per bin on plotly using 3 days of streaming data, Sentiment methodology, project plan, compile documentation
  2. Sammy - Location to determine swing regions (method)
  3. Project plan write up - Mohsin/Muhammed
  4. Jordan - Write up justification of key term choices/binning strategy + code snapshots that are explained
  5. Izzy - Sentiment analysis method, github investigation
  6. Muhammed - Feeding in database into python dataframe + plotting
    • Would like this as soon as possible by the weekend Friday Meeting discussion: In order of priority:
  7. Agreement on Sentiment output measure - All of us
  8. External data sourcing strategy - All of us 3.. Bubble plots research - Muhammed/Mohsin/Jordan
  9. Using Jordans active database, plot sentiment graph for tweets text (Mohsin), plot hashtag sentiment graph (Muhammed)
  10. Plan for Sprint 2