Kate Downing
Creative Computing / Year 4

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Kate Downing

Kate Downing

Creative Computing

Year 4

  • Project Title Twitter Sentiment Analysis Expressed Through the Use of Data Visualization.
  • Course BSc [Hons] Creative Computing
  • Year 4
  • Contact Info katedowning1@gmail.com

SentPy

To identify and categorize opinions expressed in a tweet, in order to determine whether the tweets have a positive, negative, or neutral tone.

Project Description

A Python script was created to access Twitter tweets using their streaming API. The tweet data was stored in a JSON file while a second Python script filtered this file to extract critical tweet variables. A third Python script analysed and stored the data in JSON format to allow for the creation of a number of visualisations including word trees, pie charts, maps and time charts using the visualisation application D3.js.

Project Findings

A mix of negative and positive sentiments were captured from the data collected.

Kate Downing
Creative Computing / Year 4