Emotion and Lacanian Discourse Relationships from Empirical Study

Minas Gadalla's research data examines the relationship between emotions and Lacanian discourses through empirical investigation and statistical analysis. The dataset, shared under CC BY 4.0 on figshare, supports the Lacanian Discourse Discovery (LDD) method for identifying discourses in texts. It is a small supplementary file of 1.3 KB, with specific row and column counts unknown.

Use Cases

• Apply the Lacanian Discourse Discovery (LDD) method to identify Lacanian discourses in text data using emotion features.
• Train an AI model to detect emotions in texts as a precursor for automated Lacanian discourse classification.
• Perform statistical analysis to validate theoretical relationships between specific emotions and Lacanian discourses.

Strengths

• Dataset is associated with a defined methodological contribution: the Lacanian Discourse Discovery (LDD) method.
• Data is shared under a permissive CC BY 4.0 license, facilitating reuse and distribution.
• The research has a clear interdisciplinary focus, linking psychoanalytic concepts with computer science methods.

Limitations

• The dataset is extremely small at 1.3 KB, indicating very limited scope and sample size.
• Without access to column names or sample data, the specific data structure and variables are unknown.
• The theoretical and niche subject matter may limit direct applicability for general-purpose machine learning tasks.

Provenance

Source

Minas Gadalla via figshare

Collection Method

Empirical investigation and statistical analysis of emotions in relation to Lacanian discourses.

Time Range

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Freshness

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Geography

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