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  2. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    Buzz in Social Media Dataset Data from Twitter and Tom's Hardware. This dataset focuses on specific buzz topics being discussed on those sites. Data is windowed so that the user can attempt to predict the events leading up to social media buzz. 140,000 Text Regression, Classification 2013 [55] [56] F. Kawala et al.

  3. Social media measurement - Wikipedia

    en.wikipedia.org/wiki/Social_media_measurement

    Moreover, the size of the data set collected vary with the popularity of the social media platform i.e. social media platforms having high number of users will have more data than platforms having less user base. [8] Scraping is a process in which the APIs collect online data from social media. The data collected from Scraping is in raw format.

  4. Social media intelligence - Wikipedia

    en.wikipedia.org/wiki/Social_media_intelligence

    Social media intelligence (SMI or SOCMINT) comprises the collective tools and solutions that allow organizations to analyze conversations, respond to synchronize social signals, and synthesize social data points into meaningful trends and analysis, based on the user's needs.

  5. Social network advertising - Wikipedia

    en.wikipedia.org/wiki/Social_network_advertising

    Social network advertising, also known as social media targeting, is a group of terms used to describe forms of online advertising and digital marketing that focus on social networking services. A significant aspect of this type of advertising is that advertisers can take advantage of users' demographic information , psychographics , and other ...

  6. Gross rating point - Wikipedia

    en.wikipedia.org/wiki/Gross_rating_point

    Since "the required frequency changes with the product and the competitive climate it is in", [2] the purpose of the GRP metric is to measure impressions compared to the number of people in the target for an advertising campaign. [3] GRP values are commonly used by media buyers to compare the advertising strength of components of a media plan.

  7. Kaggle - Wikipedia

    en.wikipedia.org/wiki/Kaggle

    Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.

  8. 24 Discontinued '70s and '80s Foods That We'll Never ... - AOL

    www.aol.com/finance/24-discontinued-70s-80s...

    3. Keebler Fudge Magic Middles. Neither the chocolate fudge cream inside a shortbread cookie nor versions with peanut butter or chocolate chip crusts survived.

  9. Social advertising (social relationships) - Wikipedia

    en.wikipedia.org/wiki/Social_advertising_(social...

    For example, a social ad might indicate a friend has endorsed a product, highly rated a restaurant, or watched a particular film. In fact, some definitions make these personalized social signals a necessary condition for the advertising being social advertising. [2] Inclusion of personalized social signals creates a channel for social influence.