Public Group active 3 days, 5 hours ago

PUG – Python User’s Group

Python User’ Group (or PUG for short) is an open and informal collaborative space for experimentation and exploration with the Python programming language. It is an opportunity for those interested in Python to work together virtually and find support. Whether you are looking for advice or assistance with new or current projects, looking to discuss and learn new skills using Python tools, or to join us to play around with our collection of sample datasets, PUG is your place!

PUG is open to people of all skill levels, disciplines, and backgrounds. Complete beginners to Python will find a place here. Come, and let’s learn together.

Join PUG Slack here: https://join.slack.com/t/pug-world/shared_invite/zt-iube7uch-nVkvtIyIbpaqtQSZcMB2Ig

PUG is cosponsored by the MA in Digital Humanities / MS in Data Analytics and Visualization programs and the Mina Rees Library.

To learn more, visit http://cuny.is/pug

Admins:

Discussion of Unstructured Data Visualization (Zoom session is available)

  • Posted by Yuxiao Luo on November 19, 2020 at 9:00 pm

    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
    https://baruch.zoom.us/j/3355532575

    Meeting ID: 335 553 2575
    Passcode: cuny
    One tap mobile
    +16465588656,,3355532575# US (New York)
    +13017158592,,3355532575# US (Washington D.C)

    Dial by your location
    +1 646 558 8656 US (New York)
    +1 301 715 8592 US (Washington D.C)
    +1 312 626 6799 US (Chicago)
    +1 669 900 9128 US (San Jose)
    +1 253 215 8782 US (Tacoma)
    +1 346 248 7799 US (Houston)
    Meeting ID: 335 553 2575
    Find your local number: https://baruch.zoom.us/u/kF67qPbRn

Viewing 2 replies - 1 through 2 (of 2 total)
Viewing 2 replies - 1 through 2 (of 2 total)

You must be logged in to reply to this topic.