mshojaei77/persian-tweets-2024

Dataset Description

This dataset contains high-engagement Persian language tweets collected from Twitter/X during 2024. The dataset includes comprehensive tweet metadata and user information, making it valuable for various NLP tasks, social media analysis, and Persian language processing research.

Dataset Details

• —Size: 900 tweets
• —Language: Persian (Farsi)
• —Time Period: 2024
• —Collection Criteria:
• —Language: Persian
• —Minimum Likes: 1,000+
• —Date Range: January 1, 2024 - January 1, 2025
• —Excludes: Media posts and tweets with links

Features

The dataset contains 84 columns with rich metadata about tweets and their authors:

Tweet Information

• —tweet_id: Unique identifier for the tweet
• —full_text: The complete text content of the tweet
• —created_at: Tweet creation timestamp
• —lang: Language of the tweet
• —is_quote_status: Whether the tweet is a quote tweet

Engagement Metrics

• —view_count: Number of views
• —bookmark_count: Number of bookmarks
• —favorite_count: Number of likes
• —reply_count: Number of replies
• —retweet_count: Number of retweets
• —quote_count: Number of quote tweets

User Information

• —user_id: Unique identifier for the user
• —username: User's handle
• —name: User's display name
• —first_name: User's first name
• —last_name: User's last name
• —bio: User's biography
• —location: User's location
• —website: User's website
• —verified: Verification status
• —is_blue_verified: Twitter Blue verification status
• —user_created_at: Account creation date

User Metrics

• —followers_count: Number of followers
• —following_count: Number of accounts followed
• —media_count: Number of media posts
• —statuses_count: Number of tweets
• —favourites_count: Number of likes given
• —listed_count: Number of lists containing the user
• —fast_followers_count: Number of fast followers
• —normal_followers_count: Number of regular followers

Usage

You can load this dataset using the Hugging Face datasets library:

from datasets import load_dataset

dataset = load_dataset("mshojaei77/persian-tweets-2024")

To work with only the text content of the tweets:

# Get just the text column
texts = dataset["train"]["full_text"]

# Example: Process first 5 tweets
for text in texts[:5]:
    print(text)

Data Statistics

• —Number of rows: 900
• —Number of columns: 84
• —Data format: CSV

Potential Applications

1. 1.Persian Natural Language Processing
2. 2.Sentiment Analysis
3. 3.Social Media Trend Analysis
4. 4.User Behavior Analysis
5. 5.Engagement Pattern Studies
6. 6.Persian Text Classification
7. 7.Social Network Analysis

Citation

If you use this dataset in your research, please cite:

@dataset{persian_tweets_2024,
  author       = {Mohammad Shojaei},
  title        = {Persian Tweets 2024 Dataset},
  year         = {2024},
  publisher    = {Hugging Face},
  howpublished = {\url{https://huggingface.co/datasets/mshojaei77/persian-tweets-2024}}
}

License

This dataset is released under the GNU General Public License v3.0 (GPL-3.0). This license ensures that:

• —You are free to use, modify, and distribute this dataset
• —Any derivative works must also be distributed under the GPL-3.0
• —The complete license text must be included with any distribution
• —Changes made to the original dataset must be documented

For full license details, see GPL-3.0

Contact

For questions or issues regarding the dataset, please open an issue on the Hugging Face dataset repository.