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ISEAR

The ISEAR dataset, developed by the Swiss National Center for Ability Research, is an international survey of emotional antecedents and reactions, suitable for text analysis and sentiment analysis.

Updated 5/15/2024
github

Description

py_isear_dataset Overview

Dataset Purpose

This dataset provides a Python loader for loading the ISEAR dataset. ISEAR was developed by the Swiss National Center for Ability Research and is primarily used for emotion‑analysis related text data processing.

Dataset Content

Isear.csv File

  • Source: Original data originates from an Access database.
  • Processing: Data have been cleaned and standardized.
  • Adjustment: All value lists use 0 as the origin; some results have been shifted by –1 to accommodate this adjustment.
  • Unknown Fields: Three undocumented fields (Field1, Field2, Field3) are retained for potential use.

enums.py File

  • Function: Contains detailed information about all labels and values in the dataset, facilitating understanding and utilization.

Usage

python from py_isear.isear_loader 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 attribute data data.get_target() # returns target data data.get_freetext_content() # returns raw text content

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Topics

Sentiment Analysis
Text Analysis

Source

Organization: github

Created: 5/1/2016

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