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CoP: Data Science: Create Text Analysis Tutorial #153
We need to create a text analysis tutorial, so that new members can get familiar with the concepts and have a roadmap for what to do, if we ask for it.
Action Items
Create a Google Doc in the folder provided under resources
Draft an introductory paragraph explaining what the tutorial resources cover and why a new data scientist would use them for working with data at Hack For LA
Identify resources with vetted tutorials covering important skills within the tutorial area, adding to the draft
Hi - I might be able to work on this. I brainstormed an outline of topics, but would appreciate some feedback on scope and where to draw the line. Should this be more focused on text processing/analysis fundamentals or do we want to go all the way to building and evaluating predictive/classification models?
Identified 2 datasets with textual data: Los Angeles County Department of Arts and Culture's data on Community Impact Art Grants and Organizational Grants Program
Discussed this with Bonnie. These are all the possible tasks in Text Analysis: NLP at Medium
We are creating an Epic as a parent to all these classic NLP tasks that will become a genesis of tutorials on traditional NLP techniques, and how they are now solved by LLMs such as ChatGPT in many instances. I need to do that before Monday.
Progress: "What is the current status of your project? What have you completed and what is left to do?"
Blockers: "Difficulties or errors encountered."
Availability: "How much time will you have this week to work on this issue?"
ETA: "When do you expect this issue to be completed?"
Pictures (if necessary): "Add any pictures that will help illustrate what you are working on."
Progress: Made the Epic. Next is to make the sub-issues but I want to gauge CoP interest before moving forward. If no one is interested in learning classical NLP, then its not urgent.
Activity
bfang22 commentedon Apr 23, 2024
Hi - I might be able to work on this. I brainstormed an outline of topics, but would appreciate some feedback on scope and where to draw the line. Should this be more focused on text processing/analysis fundamentals or do we want to go all the way to building and evaluating predictive/classification models?
Potential tutorials:
Use Cases
Text Analysis Basics
Pre-processing
Analysis basics (with libraries)
More advanced...
Vectorization/Encoding
Building Models
Hyperparameter Tuning
Metrics
bfang22 commentedon Apr 23, 2024
Feedback from DS meeting:
Connect topics and tutorials to HFLA datasets and projects
Build tutorial/notebook using HFLA dataset
Review 311 dataset to see if there's textual data that's a good fit
Explore alternatives: affordable housing or scraping HFLA agenda issues
bfang22 commentedon Jun 11, 2024
2 remaining items
[-]Create Text Analysis Tutorial[/-][+]CoP: Data Science: Create Text Analysis Tutorial[/+]akhaleghi commentedon May 19, 2025
chinaexpert1 commentedon Sep 9, 2025
Discussed this with Bonnie. These are all the possible tasks in Text Analysis: NLP at Medium
We are creating an Epic as a parent to all these classic NLP tasks that will become a genesis of tutorials on traditional NLP techniques, and how they are now solved by LLMs such as ChatGPT in many instances. I need to do that before Monday.
chinaexpert1 commentedon Sep 13, 2025
Duplicate of #227
Instructions