What is the Emotions in Text Dataset?

It is a labeled dataset containing emotions and intensity scores for text samples, designed for multiclass classification and NLP tasks.

How can this dataset be used in AI and machine learning?

The dataset can train models for sentiment analysis, emotion detection, chatbots, and other NLP applications.

What format is the dataset provided in?

The dataset is available in JSON format, with labeled emotions and intensity scores for each text entry.

Is the dataset quality assured and compliant?

Yes, GTS ensures dataset quality through strict QC processes and adheres to GDPR and ISO standards (ISO 9001:2015, ISO 27001:2013).

Emotions in Text Dataset

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Emotions in Text Dataset

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Emotions in Text

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Emotions in Text

Description

Explore our enriched Emotions in Text Dataset, designed for multiclass classification. This dataset includes labeled emotions, intensity scores.

Description:

This dataset was created for a multiclass classification task, focusing on identifying various emotions expressed in text beyond simple sentiments like positive, negative, and neutral. The dataset consolidates and cleans data from multiple sources, providing a ready-to-use CSV file for emotion detection.

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Content

The dataset consists of two columns: “Text” and “Emotions.” The “Text” column contains the sentences, while the “Emotions” column labels these sentences with emotions such as happiness, sadness, love, fear, and more.

Expanded Content

In addition to the existing content, this enhanced dataset now includes:

Emotion Intensity: A numerical value indicating the strength of the emotion expressed in each sentence.
Contextual Tags: Additional tags that provide context for the emotion, such as “relationship”, “work”, “health”, etc.
Source Information: Metadata indicating the source of each text entry, which could help in understanding the context better.

This dataset is sourced from Kaggle.

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Emotions in Text Dataset