Code Interpreter Test-Advanced Code Analysis

Example

In ASM_kyouki_all, the system analyzes diary entries to identify sentences where target words and evaluation words appear together. For instance, if a diary entry contains the target word '幸福' (happiness) and the evaluation word '感じる' (feel), and they co-occur in the same sentence, Code Interpreter Test will count this as a 'co-occurrence' and note it in the num field.

Scenario

This function is particularly useful for linguistic researchers studying the contextual use of words in diary entries, helping them understand how certain concepts are discussed or perceived in daily reflections.

Example

In ASM_taisyogo_all, the system examines pairs of words for oppositional relationships. For instance, if the dataset indicates an opposition between '暑い' (hot) and '寒い' (cold), the system can analyze diary entries to see how often these oppositional pairs are used in close proximity, providing insights into contrasting ideas or feelings expressed in personal diaries.

Scenario

This is particularly valuable for cultural studies and linguistic analysis, offering a window into the emotional or descriptive dichotomies present in personal narratives.

Example

ASM_hyokago_all enables the analysis of words based on evaluative terms. For instance, if a diary entry describes a day using the word '楽しい' (enjoyable) and this term is linked to positive evaluations in the dataset, Code Interpreter Test can quantify and categorize such evaluations, offering a structured overview of sentiments expressed.

Scenario

This function serves sentiment analysis, allowing researchers to quantitatively assess emotions and opinions in diary entries, aiding in fields like market research, psychology, and sociolinguistics.