SAMPLE Twitter (X) Data | Twitter (X) Posts and Profiles Datasets | 20M Records
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https://marketplace.databricks.com/details/71cafc8b-8465-4dbd-9a4a-23e4be50b063/Bright-Data_SAMPLE-Twitter-(X)-Data-Twitter-(X)-Posts-and-Profiles-Datasets-20M-Records
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资源简介:
We provide two types of Twitter datasets: post dataset and profile dataset:
**1.Twitter - Posts Dataset**
Description: The "Twitter Posts Dataset" captures a wealth of information from tweets, including text, author details, posting date, media content, URLs, user interactions, and engagement metrics. This comprehensive dataset is a valuable resource for analyzing user behavior, content dynamics, and engagement patterns on Twitter. Researchers can study language trends and sentiment, while marketers can gain insights into content virality and audience preferences.
**Key Features:**
*Complete tweet details: text, author, date, media, URLs, and engagement metrics
*In-depth user interactions: quoted posts and tagged users
External links and hashtags for comprehensive content analysis
**Popular Use Cases:**
*User Behavior Analysis: Understand how users interact with tweets, media, and hashtags.
*Content Dynamics: Analyze what makes content go viral and how different types of media impact engagement.
*Sentiment Analysis: Study language trends and sentiment shifts over time.
*Engagement Strategies: Optimize content strategies and post timing to maximize reach and impact.
**2.Twitter - Profiles Dataset**
Description: The "Twitter Profiles Dataset" captures extensive user-centric data, including names, bios, verification status, images, links, join dates, network sizes, locations, and activity metrics. This rich dataset is invaluable for analyzing user demographics, network structures, and account authenticity. Researchers and marketers can study self-presentation, identify influencers, and understand audience composition.
**Key Features:**
*Comprehensive profile details: names, bios, images, and links
Verification status and activity metrics
*Network sizes and demographics
**Popular Use Cases:**
*User Demographics: Analyze user demographics and network structures.
*Influencer Identification: Identify influential users and potential collaborators.
*Account Authenticity: Study account verification and its impact on trust.
Note: This is a sample
提供机构:
Bright Data



