Click here to navigate to the Sentiment Per Line download page.

 

 

Sentiment-Per-Line

Sentiment values per line in text file. Results downloaded to structured csv table.

Baylor University Libraries: Implementation of VaderSentiment

VADER (Valence Aware Dictionary and sEntiment Reasoner)

This Python application was created by the Baylor University Libraries to assist researchers to apply sentiment to text files using the VaderSentiment library. Baylor University has no connection with the creator of the VaderSentiment library. This is merely a browsable form to access the library.

For documentation of the VaderSentiment library, navigate to https://github.com/cjhutto/vaderSentiment.

This application will create a comma delimited spreadsheet in the same directory as the selected settings file. The spreadsheet will repeat each line in the first column and write the assigned composite sentiment in the second column.

 

Baylor Libraries’ Sentiment Per Line

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