Multimodal Sentiment Analysis Dataset

Multimodal Sentiment Analysis Dataset

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Multimodal Sentiment Analysis Dataset

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Multimodal Sentiment Analysis Dataset

Use Case

Multimodal Sentiment Analysis Dataset

Description

Explore our unique Multimodal Sentiment Analysis Dataset, featuring high-quality images and corresponding text descriptions with sentiment labels.

Multimodal Sentiment Analysis Dataset

Description:

This unique dataset combines images with corresponding text descriptions and sentiment labels, creating a comprehensive resource for multimodal sentiment analysis. It features a diverse collection of images spanning 100 different classes, including animals and objects such as sharks, birds, lizards, spiders, and more. This dataset is ideal for tasks that require an integrated approach to computer vision and natural language processing.

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Dataset Description:

  • Images: The dataset includes high-quality images of various animals and objects, covering 100 distinct classes.
  • Text Descriptions: Each image is accompanied by a textual description that provides context and details about the image.
  • Sentiment Labels: The text descriptions are annotated with sentiment labels, indicating the emotional tone (positive, negative, or neutral) associated with the content.

Applications:

  • Image Classification: Train models to classify images into one of the 100 predefined classes.
  • Sentiment Analysis: Analyze the sentiment expressed in the text descriptions to determine the emotional tone.
  • Image Captioning: Develop models that generate descriptive captions for images based on the provided text and sentiment information.

Use Cases:

  • Enhance user experience in social media platforms by integrating sentiment analysis with image recognition.
  • Improve content recommendation systems by understanding the emotional context of images and their descriptions.
  • Develop advanced AI models that can interpret and respond to both visual and textual inputs in a cohesive manner.

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