The International Survey on Emotion Antecedents and Reactions as a python dataset for MachineLearning http://www.affective-sciences.org/researchmaterial
The purpose of this code repository is to provide a python loader for the Isear Data set The ISEAR dataset has been developped by the Swiss National Center of Competence in Research.
At first sight, it seems interesting as a text analysis dataset regarding emotions in language. Petty dabbler as I am currently, I'll let you be judge of it.
the Isear.csv file
This file is the actual extract of the dataset, which was provided as an Access database. The data has been cleaned and normalized a bit
All value lists are including 0 as origin from now on, some results have been been downgraded by 1 to do so.
There are 3 undocumented (as far as I know) fields, which are Field1 Field2 and Field3 which I kept for practical purposes.
Isear fields and values : the enums.py file
Everything you should need to know regarding the labels and values for this dataset should be in the enums.py file
from py_isear.enums import IsearLoader attributes = ['EMOT','SIT'] target = ['TROPHO','TEMPER'] loader = IsearLoader(attributes, target, True) data = loader.load_isear('path/to/Isear.csv') data.get_data() # returns attributes data.get_target() # returns target data.get_freetext_content() # returns the text content of the database