RUG — R User’s Group

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Discussion of Unstructured Data Visualization (Zoom session is available)

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    Yuxiao Luo
    Participant

    In data visualization, we often come across these two data types: structured data and unstructured data. In this post, we will briefly talk about unstructured data visualization. Usually, unstructured data includes text, image, video, sound, imaging (x-ray, FMR, etc.). In most cases, we have to convert unstructured data to structured data before visualizing it. More advanced ways of visualizing unstructured data include AI-based linguistic analytical tool, unsupervised machine learning, etc. For example, we can transcribe an audio file to text and generate a corpus, which can be visualized as a word cloud and word vector later. IBM Watson provides a speech-to-text API that could satisfy your need for auto-transcription of audio files. Moreover, it also offers an AI-based analytical tool for NLP jobs, including analysis of sentiment, emotion, keywords, entities, categories, concept, syntax, personality insight, etc.

    Tomorrow (Nov 20th) we will discuss the concepts and resources of unstructured data visualization in our causal group meeting via Zoom from 3:30 pm to 5:00 pm. Moreover, I will go through visualization (table, plot, and grids) of data attributes for different machine learning methods (shallow neural network, random forest, SVM, regression, combination algorithm) in R if time allows. Welcome to join us!

    Yuxiao Luo is inviting you to a scheduled Zoom meeting.

    Join Zoom Meeting
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    Meeting ID: 335 553 2575
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