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---
license: mit
task_categories:
- text-classification
language:
- en
pretty_name: s
size_categories:
- 10M<n<100M
---
# Dataset Card for "Large twitter tweets sentiment analysis"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Splits and Size](#data-splits-and-size)
## Dataset Description
### Dataset Summary
This dataset is a collection of tweets formatted in a tabular data structure, annotated for sentiment analysis.
Each tweet is associated with a sentiment label, with `1` indicating a Positive sentiment and `0` for a Negative sentiment.
### Languages
The tweets in English.
## Dataset Structure
### Data Instances
An instance of the dataset includes the following fields:
- `text`: a string containing the tweet's content.
- `sentiment`: an integer where `1` indicates Positive sentiment and `0` indicates Negative sentiment.
### Data Splits and Size
The dataset is divided into training and test sets. The sizes are as follows:
- Training set: 179995 instances
- Test set: 44999 instances |