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The dataset "Motamot" containing 7,058 data points labeled with Positive and Negative sentiments, tailored specifically for Political Sentiment Analysis in the Bengali language. The dataset comprises 4,132 instances labeled as Positive and 2,926 instances labeled as Negative sentiments.

Specifics of the Core Data:
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Train 5647, Test 706, Validation 705

Train :
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Positive: 3306

Negative: 2341


Test :
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Positive: 413

Negative: 293


Validation :
—-------------------------------

Positive: 413

Negative: 292


Categories
Politics, Natural Language Processing, Public Sentiment, Sentiment Analysis

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