metadata

license: mit
task_categories:
  - text-classification
language:
  - en
pretty_name: s
size_categories:
  - 10M<n<100M

Dataset Card for "Large twitter tweets sentiment analysis"

Dataset Description
- Dataset Summary
- Languages
Dataset Structure
- Data Instances
- 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

Datasets:

gxb912
/

large-twitter-tweets-sentiment