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