The purpose of this webinar is to demonstrate how to perform automated text classification using pre-trained, open-source large language models (LLMs). The efficiency that This webinar demonstrates how to perform automated text classification using pre-trained, open-source large language models (LLMs). The use case is classification of text according to sentiment, but the general workflow is applicable to many other text classification tasks.
In the webinar, it is demonstrated how to:
– Retrieve text data from online sources
– Store and prepare the data for analysis
– Set up an LLM text classifier
– Perform the text classification
– Use a web app for human validation of the classification result
Time stamps:
00:00: Introduction and agenda
02:04: Terminology and UCloud workflow outline
08:30: Best practices in web scraping
11:30: Setting up the UCloud workflow
18:30: Scraping and storing the data
27:06: Setting up the the classification pipeline
42:15: Classifying the data and analyzing the results
57:27: Creating a web app for result validation by humans
All scipts used in the webinar can be found here: https://github.com/JHavstein/ucloud-workshop-text-classification-using-LLMs
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