SentimentSpark / README.md
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metadata
title: SentimentSpark
emoji: πŸ†
colorFrom: blue
colorTo: gray
sdk: static
pinned: false
license: apache-2.0
short_description: SentimentSpark

dataset_info: features: - name: index dtype: int64 - name: text dtype: string - name: label dtype: string splits: - name: train num_examples: 400 - name: test num_examples: 100 download_size: 50000 dataset_size: 50000 license: apache-2.0 task_categories: - text-classification tags: - sentiment-analysis - text - nlp - emoji pretty_name: SentimentSpark language: - en

πŸŒ‘ SentimentSpark: Unleash a Firestorm of Sentiment Analysis πŸ”₯

Welcome to SentimentSpark!
Launch into the future of NLP with SentimentSpark, a massive dataset of 500 emoji-charged reviews engineered to dominate sentiment analysis. Crafted for researchers, developers, and data visionaries, this balanced dataset (250 positive, 250 negative) is your arsenal for building elite text classification models. Paired with a neon-lit, dark-themed web app, SentimentSpark redefines data exploration. Hosted on the Hugging Face Hub, it’s primed to ignite your projects as of June 06, 2025. πŸš€


🌟 Why SentimentSpark?

SentimentSpark is a colossus in sentiment analysis, offering 500 unique reviews spanning apps, products, services, and more. Its scale, diversity, and emoji-rich content make it the ultimate resource for benchmarking models, prototyping solutions, and driving innovation. From academia to industry, SentimentSpark sets the galaxy ablaze. 🌍


πŸ“Š Dataset Structure

πŸ“‹ Data Instances

Each of the 500 instances is a pulse of sentiment, featuring an index, text review, and label. Example:

{
  "index": 1,
  "text": "This app is a game-changer! Super intuitive and lightning-fast. 🌟🌟",
  "label": "positive"
}