Datasets:
File size: 2,738 Bytes
b5f97ec 5ac3d76 c6a89bd 5ac3d76 c6a89bd 5ac3d76 c6a89bd 5ac3d76 c6a89bd 5ac3d76 c6a89bd 5ac3d76 c6a89bd 5ac3d76 c6a89bd 5ac3d76 c6a89bd 5ac3d76 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 |
---
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 [email protected].
|