Hannes111/student_feedback_sentiment

# Student Feedback Sentiment Dataset

This dataset contains cleaned student feedback comments for sentiment classification.

## Task

Text classification: predict whether a student feedback comment is negative, neutral, or positive.

## Columns

- text: student feedback comment
- category: feedback area, such as teaching, labwork, examination, library facilities, course content, or extracurricular
- sentiment_score: numeric label from the original dataset, where -1 = negative, 0 = neutral, 1 = positive
- sentiment: final text label: negative, neutral, positive

## Dataset Size

724 rows.

## Source

The raw data was derived from the Kaggle Student Feedback Dataset:
brarajit18/student-feedback-dataset

## Processing

The original spreadsheet had paired columns for each feedback area: one numeric sentiment label and one text comment. These were reshaped into a long-format CSV where each row is one feedback comment.

## Labels

- negative
- neutral
- positive

## Limitations

The dataset is relatively small and class-imbalanced, with more positive examples than neutral or negative examples. Some short comments may be ambiguous.