---
license: mit
---

# Apple Vision Pro Tweets Dataset

## Overview

The Apple Vision Pro Tweets Dataset is a collection of tweets related to Apple Vision Pro from February 01 2024 to March 16 2024, scraped from [X](https://twitter.com/home) using the Twitter [API](https://developer.twitter.com/en/products/twitter-api). The dataset includes various attributes associated with each tweet, such as the tweet text, author information, engagement metrics, and metadata.

## Content

 - *id*: Unique identifier for each tweet.
 - *tweetText*: The text content of the tweet.
 - *tweetURL*: URL link to the tweet.
 - *type*: Type of tweet (e.g., original tweet, retweet).
 - *tweetAuthor*: Name of the tweet author.
 - *handle*: Twitter handle of the tweet author.
 - *replyCount*: Number of replies to the tweet.
 - *quoteCount*: Number of quotes (retweets with comments) of the tweet.
 - *retweetCount*: Number of retweets of the tweet.
 - *likeCount*: Number of likes (favorites) of the tweet.
 - *views*: Number of views of the tweet (if available).
 - *bookmarkCount*: Number of bookmarks (if available) of the tweet.
 - *createdAt*: Timestamp indicating when the tweet was created.

## Dataset Format
The dataset is provided in `parquet` format. Each row represents a single tweet, and columns contain various attributes associated with the tweet.

## Dataset Size

The dataset contains a total of 10,145 tweets related to Apple Vision Pro, with 13 features

## Data Collection

The tweets were collected using the Twitter API by searching for the hashtag *#AppleVisionPro* The data collection process involved retrieving tweets that match the search criteria and extracting relevant information such as tweet text, engagement metrics, and metadata.

## Data Usage

The data can be imported directly from HuggingFace using the following code:

```py
from datasets import load_dataset

dataset = load_dataset("divyasharma0795/AppleVisionPro_Tweets")
```

## Potential Use Cases

 - *Sentiment analysis*: Analyze the sentiment expressed in tweets related to Apple Vision Pro.
 - *User engagement analysis*: Study user engagement metrics (replies, retweets, likes) to understand audience interaction with Apple Vision Pro content.
 - *Trend analysis*: Identify trends and patterns in discussions surrounding Apple Vision Pro on Twitter.

## Citation

If you use this dataset in your research or project, please cite it as follows:

```css

[Dataset Name], Apple Vision Pro Tweets Dataset, [Year]. Retrieved from [URL]
```

## License

The dataset is provided under the [MIT License]. Please refer to the LICENSE file for more details.

## Contact

For any inquiries or feedback regarding the dataset, please contact divya.sharma@duke.edu.