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+ # Dataset Card for "Large twitter tweets sentiment analysis"
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+
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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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+
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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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+
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+ ### Languages
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+ The tweets are primarily in English.
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+
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+ ## Dataset Structure
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+
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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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+
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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