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Go to your terminal.
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Clone this repository and go inside it
git clone https://github.com/mjaglan/PyTextSentiment.git cd PyTextSentiment
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Edit following files:
app/assets/BingCredentials/bingClientId.txt app/assets/BingCredentials/bingClientSecret.txt app/assets/TwitterAPI/credentials.txt app/assets/input.txt
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Run the following script
. ./restart-all.sh
- This application inside docker container page can be browsed at http://CONTAINER-IP:9091/
- Training dataset files:
app/assets/Resource/searchKeys
- Get Feeds by text search query:
app/assets/Resource/searchKeys/testFiles
- Bag of Words for emotion tagging and classification:
app/assets/Resource
- Output twitter data directory:
app/assets/twitterData
The term paper of this work is present here. Below are the highlights of the work done + the results generated for live tweets on 28 December 2015.