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

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

    Sentiment analysis 2009 [47] [48] A. Go et al. ASU Twitter Dataset Twitter network data, not actual tweets. Shows connections between a large number of users. None. 11,316,811 users, 85,331,846 connections Text Clustering, graph analysis 2009 [49] [50] R. Zafarani et al. SNAP Social Circles: Twitter Database Large Twitter network data.

  3. Sentiment analysis - Wikipedia

    en.wikipedia.org/wiki/Sentiment_analysis

    Sentiment analysis (also known as opinion mining or emotion AI) is the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information.

  4. Social media analytics - Wikipedia

    en.wikipedia.org/wiki/Social_media_analytics

    A buzz graph for the term "teszt" on Twitter in a social media monitoring tool. Social media analytics or social media monitoring is the process of gathering and analyzing data from social networks such as Facebook, Instagram, LinkedIn, or Twitter. A part of social media analytics is called social media monitoring or social listening. It is ...

  5. 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.

  6. Text mining - Wikipedia

    en.wikipedia.org/wiki/Text_mining

    The term text analytics also describes that application of text analytics to respond to business problems, whether independently or in conjunction with query and analysis of fielded, numerical data. It is a truism that 80% of business-relevant information originates in unstructured form, primarily text. [ 9 ]

  7. Social network analysis - Wikipedia

    en.wikipedia.org/wiki/Social_network_analysis

    Social network analysis (SNA) is the process of investigating social structures through the use of networks and graph theory. [1] It characterizes networked structures in terms of nodes (individual actors, people, or things within the network) and the ties , edges , or links (relationships or interactions) that connect them.

  8. Social analytics - Wikipedia

    en.wikipedia.org/wiki/Social_analytics

    Social analytics is a philosophical perspective developed since the early 1980s by the Danish idea historian and philosopher Lars-Henrik Schmidt. The theoretical object of the perspective is socius , a kind of "commonness" that is neither a universal account nor a communality shared by every member of a body.

  9. Cultural analytics - Wikipedia

    en.wikipedia.org/wiki/Cultural_analytics

    Cultural analytics refers to the use of computational, visualization, and big data methods for the exploration of contemporary and historical cultures. While digital humanities research has focused on text data, cultural analytics has a particular focus on massive cultural data sets of visual material – both digitized visual artifacts and contemporary visual and interactive media.