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debojit01/course-review-sentiment
course-review-sentiment is a text classification model from debojit01. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
Model Name: Course Review Sentiment Classifier Model Type: Text Classification (Multiclass – Positive, Neutral, Negative) Language: English License: MIT Finetuned From: distilbert-base-uncased Developed By: Debojit Ch…
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From the Hugging Face model README
debojit01/course-review-sentimentModel Name: Course Review Sentiment Classifier
Model Type: Text Classification (Multiclass – Positive, Neutral, Negative)
Language: English
License: MIT
Finetuned From: distilbert-base-uncased
Developed By: Debojit Choudhury
This model is a fine-tuned DistilBERT model for sentiment classification of course reviews. It predicts whether a review is positive, neutral, or negative, and was trained on a labeled dataset of 100k Coursera reviews.
This model can be used to:
from transformers import pipeline
classifier = pipeline("text-classification", model="debojit01/course-review-sentiment")
classifier("The course was extremely helpful and well-structured!")
Kaggle's 100k Coursera Reviews Dataset
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
If you use this model, please cite:
Debojit Choudhury, Course Review Sentiment Classifier (2025), Hugging Face. https://huggingface.co/debojit01/course-review-sentiment