Twitter Analytics running in a Raspberry Pi 3 Model B

.NET Core 2.2 Console App which listens for tweets given a keyword on the Twitter Stream feed, performs a sentiment analysis of the tweet using Azure Text Analytics API and stores the tweet and the sentiment score in an Influx DB database.

• A Raspberry Pi 3 Model B with Raspbian already installed.

• A Docker installation in your Raspberry Pi. Tutorial
• An Influx DB server running in your Raspberry Pi as a Docker container.

Start your image binding the external port 8086 of your containers:

docker run -d -p 8086:8086 hypriot/rpi-influxdb

Set up the following configuration in the appsettings.json and appsettings.*.json files with your own values:

{
  "InfluxDB": {
    "ServerAddress": "http://<INFLUX_DB_SERVER_ADDR>:<INFLUX_DB_PORT>"
  },
  "Twitter": {
    "ConsumerKey": "",
    "ConsumerSecret": "",
    "AccessToken": "",
    "AccessTokenSecret": ""
  },
  "TextAnalytics": {
    "Name": "",
    "Key1": "",
    "Key2": ""
  } 
}

bash build.sh

bash push.sh

Log into your Raspberry Pi by ssh:

λ ssh pi@<YOUR_RASPBERRY_IP_ADDR>

Run the container

docker run --rm -e "keyword=climate change" youraccount/twitteranalytics

The container will start listening for tweets that contain the word climate change on the Twitter Stream feed and will store them in an Influx DB database.

Go inside your Influx DB container:

λ docker exec -it <INFLUX_DB_CONTAINER_ID> influx

> use TwitterAnalytics

• The tweet information is stored in the tweet measurement.

> SELECT * FROM tweet

• The sentiment information is stored in the sentiment measurement.

You can see the average sentiment score of your tweets running the following query:

> SELECT MEAN(score) FROM sentiment

name: sentiment
time mean
---- ----
0    0.47096266531824166