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  2. 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.

  3. Multimodal sentiment analysis - Wikipedia

    en.wikipedia.org/wiki/Multimodal_sentiment_analysis

    Multimodal sentiment analysis is a technology for traditional text-based sentiment analysis, which includes modalities such as audio and visual data. [1] It can be bimodal, which includes different combinations of two modalities, or trimodal, which incorporates three modalities. [ 2 ]

  4. 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.

  5. Social media analytics - Wikipedia

    en.wikipedia.org/wiki/Social_media_analytics

    In other words, data analysis is the phase that takes filtered data as input and transforms that into information of value to the analysts. Many different types of analysis can be performed with social media data, including analysis of posts, sentiment, sentiment drivers, geography, demographics, etc. The data analysis step begins once we know ...

  6. 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.

  7. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    The data is necessary as inputs to the analysis, which is specified based upon the requirements of those directing the analytics (or customers, who will use the finished product of the analysis). [ 14 ] [ 15 ] The general type of entity upon which the data will be collected is referred to as an experimental unit (e.g., a person or population of ...

  8. Google Analytics - Wikipedia

    en.wikipedia.org/wiki/Google_Analytics

    As of July 1, 2023, Universal Analytics ceased collecting new data, with Google Analytics 4 succeeding it as the primary analytics platform. Google had previously announced this transition in March 2022. While users had the option to use Universal Analytics up to the July 2023 deadline, no new data has been added to UA since its discontinuation ...

  9. Social network analysis - Wikipedia

    en.wikipedia.org/wiki/Social_network_analysis

    [24] [25] Even in the study of literature, network analysis has been applied by Anheier, Gerhards and Romo, [26] Wouter De Nooy, [27] and Burgert Senekal. [28] Indeed, social network analysis has found applications in various academic disciplines as well as practical contexts such as countering money laundering and terrorism. [citation needed]