license:mit size_categories:n<1K format:csv modality:text library:datasets library:pandas library:mlcroissant library:polars region:us infinite-dataset-hub synthetic
---
license: mit
tags:
- infinite-dataset-hub
- synthetic
---

# SocialSentimentEcho

tags: social media, emotion analysis, clustering

_Note: This is an AI-generated dataset so its content may be inaccurate or false_

**Dataset Description:**

The 'SocialSentimentEcho' dataset is a collection of tweets that have been gathered from various social media platforms. Each tweet has been analyzed for sentiment using a machine learning model and categorized into distinct clusters that represent different emotional tones. These tones include Joy, Anger, Sadness, Fear, and Surprise. The dataset is useful for researchers and practitioners interested in understanding public sentiment on social media platforms.

**CSV Content Preview:**

```csv
Tweet,Label
"Just saw the most beautiful sunrise today! #blessed #joy",Joy
"Frustrated with the traffic jam. Always something going wrong! #annoyed",Anger
"Feeling heartbroken after not hearing back from my best friend for days. #sad",Sadness
"I'm really scared about the future with all these environmental issues. #fear",Fear
"Wow, just won a surprise trip to Hawaii! I'm over the moon! #surprised",Surprise
"So upset about the news. How can things be so unfair? #anger",Anger
"Had the best birthday ever, thank you to everyone who made it special! #joy",Joy
"I'm so scared of public speaking. Every time it's my turn, my heart races. #fear",Fear
"Nothing beats the feeling of scoring a goal in soccer! #joy",Joy
"The news about climate change really makes me sad. It's disheartening. #sadness",Sadness
```

The dataset includes at least 500 tweets with a diverse range of topics, labeled appropriately for sentiment analysis. The CSV file structure consists of two columns: 'Tweet' for the actual text content and 'Label' for the emotion-based sentiment analysis. This dataset is ideal for training and evaluating sentiment analysis models that cluster emotional tones.

**Source of the data:**

The dataset was generated using the [Infinite Dataset Hub](https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub) and microsoft/Phi-3-mini-4k-instruct using the query '':

- **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=&dataset=SocialSentimentEcho&tags=social+media,+emotion+analysis,+clustering
- **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
- **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub
