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2. Buffer (application) - Wikipedia

   en.wikipedia.org/wiki/Buffer_(application)

   Buffer is a software application for the web and mobile, designed to manage accounts in social networks, by providing the means for a user to schedule posts to Twitter, Facebook, Mastodon, Instagram, Instagram Stories, Pinterest, and LinkedIn, as well as analyze their results and engage with their community.

3. List of text mining software - Wikipedia

   en.wikipedia.org/wiki/List_of_text_mining_software

   Mathematica – provides built in tools for text alignment, pattern matching, clustering and semantic analysis. See Wolfram Language, the programming language of Mathematica. MATLAB offers Text Analytics Toolbox for importing text data, converting it to numeric form for use in machine and deep learning, sentiment analysis and classification ...

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. HuffPost Data

   data.huffingtonpost.com

   Visualization, analysis, interactive maps and real-time graphics. Browse, copy and fork our open-source software. Remix thousands of aggregated polling results. Keep up with our latest on Twitter and Tumblr. Special Elections

6. Social network analysis software - Wikipedia

   en.wikipedia.org/wiki/Social_network_analysis...

   Commercial with free trial NetMiner is a software tool for exploratory analysis and visualization of large network data. NetMiner 4 embed internal Python-based script engine which equipped with the automatic Script Generator for unskilled users. Then the users can operate NetMiner 4 with existing GUI or programmable script language.

7. Automated decision-making - Wikipedia

   en.wikipedia.org/wiki/Automated_decision-making

   Automated decision-making involves using data as input to be analyzed within a process, model, or algorithm or for learning and generating new models. [7] ADM systems may use and connect a wide range of data types and sources depending on the goals and contexts of the system, for example, sensor data for self-driving cars and robotics, identity data for security systems, demographic and ...