Dataset assetOpen Source CommunitySentiment AnalysisText Classification

stanfordnlp/sentiment140

The Sentiment140 dataset contains Twitter messages with emojis, which are used as noisy sentiment labels. It is primarily used for sentiment classification tasks, containing 1,600,000 training instances and 498 test instances. Fields include text, date, user, sentiment, and query.

Source

hugging_face

Created

Nov 28, 2025

Updated

Oct 20, 2023

Signals

322 views

Availability

Linked source ready

Overview

Dataset description and usage context

Dataset Overview

Dataset Name

Name: Sentiment140
Configuration Name: sentiment140

Dataset Features

Text: string
Date: string
User: string
Sentiment: int32
Query: string

Dataset Splits

Training Set: 1,600,000 records
Test Set: 498 records

Dataset Size

Download Size: 81.36 MB
Dataset Size: 225.82 MB

Training & Evaluation Metrics

Task: Text Classification
Task ID: multi_class_classification
Train Split: train
Eval Split: test
Column Mapping:
- text: text
- sentiment: target
Evaluation Metrics:
- Accuracy
- F1 macro
- F1 micro
- F1 weighted
- Precision macro
- Precision micro
- Precision weighted
- Recall macro
- Recall micro
- Recall weighted

Citation

@article{go2009twitter, title={Twitter sentiment classification using distant supervision}, author={Go, Alec and Bhayani, Richa and Huang, Lei}, journal={CS224N project report, Stanford}, volume={1}, number={12}, pages={2009}, year={2009} }

Contributors

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