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Dell Brand Engagement Tweets
E-commerce & Online Transactions
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Free
About
This dataset provides insights into Twitter mentions of Dell from the first three quarters of 2022, specifically from 1 January to 30 September. It includes approximately 25,000 tweets, offering valuable context for understanding public sentiment and online discussions surrounding the Dell brand. The tweets were collected using the "snscrape" library, which does not require Twitter's API access. This collection offers a practical resource for text analysis and business intelligence related to e-commerce and online transactions.
Columns
- Datetime: An object type, representing the exact date and time the tweet was posted.
- Tweet Id: An integer type, serving as the unique identifier for each specific tweet.
- Text: An object type, containing the actual content or body of the tweet.
- Username: An object type, indicating the username of the individual who published the tweet.
Distribution
The dataset is provided in Comma Separated Values (CSV) format. It comprises around 25,000 tweets. The distribution of tweets over time is varied, with daily counts fluctuating across different fortnightly periods in 2022. For instance, the highest tweet count for a two-week period was 2,471 tweets between 20 April and 3 May 2022, while a lower period saw 912 tweets between 6 April and 20 April 2022.
Usage
This dataset is ideal for various applications, including business intelligence, natural language processing (NLP), and classification tasks. It can be used for sentiment analysis of brand mentions, tracking online reputation, identifying emerging trends in customer discussions, and categorising public feedback related to Dell's products or services. Its global coverage allows for broad market research.
Coverage
The data covers a time range from 1 January 2022 to 30 September 2022. Geographically, the tweets are considered global in scope. While specific demographic details are not provided, the dataset includes a diverse range of usernames, with a small percentage of users contributing a larger share of tweets (e.g., "johnphillips34" and "jkline120" each account for 1% of unique usernames, with the vast majority falling into an "Other" category at 98%), indicating a wide array of contributors.
License
CC0
Who Can Use It
- Market researchers can analyse public perception and brand mentions.
- Data scientists can develop and train NLP models for sentiment analysis or topic modelling.
- Businesses can monitor their online presence and customer feedback in the e-commerce sector.
- Academics and students can use it for research on social media trends and corporate communications.
Dataset Name Suggestions
- Dell Twitter Mentions 2022
- Dell Social Media Activity Data
- 2022 Dell Tweet Data
- Dell Brand Engagement Tweets
Attributes
Original Data Source: Dell Tweets 2022
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