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Intel Raptor Lake Twitter Activity and Public Metrics Archive
Social Media and Posts
Tags and Keywords
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Free
About
Analysing social media reception of major hardware launches reveals consumer sentiment and technical interest in real-time. These records capture the global conversation surrounding the Intel Raptor Lake release during a specific window in October 2022. By documenting over ten thousand multi-language tweets, the collection provides a detailed view of public reactions, engagement levels, and news dissemination concerning high-tech hardware updates. This information is vital for understanding how product releases resonate within the technology community on social platforms.
Columns
- ID number: A unique numerical identifier assigned to each record in the list.
- author_id: The unique Twitter identifier for the user who published the post.
- author_name: The full display name of the Twitter user as it appears on their profile.
- author_username: The specific handle or username used by the account holder.
- created_at: The date and time the tweet was originally posted.
- edit_history_tweet_ids: A log of identifiers used to track any modifications or edits made to the tweet.
- id: The official unique identification number for the specific tweet.
- lang: The language code for the text, with a variety of languages represented including English and Japanese.
- public_metrics: A collection of engagement counts, including the number of retweets, replies, likes, and quotes.
- text: The full content of the tweet, containing the commentary and hashtags related to the hardware release.
Distribution
The information is delivered in a CSV format titled
intel.csv with a file size of 4.04 MB. It consists of 10,798 valid records, showing a 100% validity rate for core identifiers and timestamps. The resource maintains a high usability rating of 10.00 and is provided as a static collection with no scheduled future updates.Usage
This collection is ideal for performing sentiment analysis and studying the viral reach of hardware-related news across different languages. Analysts can use the public metrics to identify which specific features of the Raptor Lake release generated the most engagement or to map out influencer networks within the tech space. It also serves as a robust foundation for training natural language processing models on social media text and evaluating temporal trends in public discourse.
Coverage
The geographic scope is global, capturing 47 unique languages from users worldwide. Temporally, the data captures a one-week period ranging from 20 October 2022 to 27 October 2022, shortly after the product launch. The demographic focus is centred on tech-savvy social media users and news outlets discussing semiconductor and computing hardware.
License
CC0: Public Domain
Who Can Use It
Market researchers in the semiconductor industry can leverage these metrics to gauge the immediate public impact of their competitors' product launches. Social media analysts can use the engagement data to refine their digital marketing strategies for high-tech goods. Additionally, data science students can utilise the multi-language text to practice sentiment scoring and classification techniques on real-world social media data.
Dataset Name Suggestions
- Intel Raptor Lake Release: Global Twitter Discourse and Engagement
- Social Media Sentiment: Intel Raptor Lake Launch (Oct 2022)
- Intel Raptor Lake Twitter Activity and Public Metrics Archive
- Hardware Tech News: Multi-Language Tweet Dataset for Raptor Lake
Attributes
Original Data Source: Intel Raptor Lake Twitter Activity and Public Metrics Archive
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Free
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