README.md

metadata

license: mit
task_categories:
  - text-classification
  - translation
language:
  - en
tags:
  - Sentiment Analysis
  - Tweets
  - Product Performance Analysis
pretty_name: Apple Vision Pro Tweets
size_categories:
  - 10K<n<100K

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 using the 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:

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:

[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].