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Everyone's Korean Text Analysis and Natural Language Processing with Python

Python Korean Text Analysis and Natural Language Processing: Word Cloud Visualization, Morphological Analysis, Topic Modeling, Clustering, Similarity Analysis, Bag of Words and TF-IDF for Text Data Vectorization, Text Classification Using Machine Learning and Deep Learning, and How to Use Hugging Face

(4.8) 24 reviews

648 learners

Level Basic

Course period Unlimited

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이론 실습 모두
이론 실습 모두
텍스트분석
텍스트분석
자연어처리
자연어처리
NLP
NLP
Text Mining
Text Mining
Machine Learning(ML)
Machine Learning(ML)
data-clustering
data-clustering
Big Data
Big Data
이론 실습 모두
이론 실습 모두
텍스트분석
텍스트분석
자연어처리
자연어처리
NLP
NLP
Text Mining
Text Mining
Machine Learning(ML)
Machine Learning(ML)
data-clustering
data-clustering
Big Data
Big Data

(Ad) LANGCON2025 will be held again this year, following last year.

Hello. This is Park Jo-eun.

LANGCON2025 will be held this year as well, following last year.

This is also an event led by Song Young-sook, who wrote the book Everyone's Korean Text Analysis with Python with me.

There are lectures and tutorials related to natural language processing, so if you are interested, you are encouraged to participate.

Topic: How to live with an LLM

(We have prepared everything for those who do not know what to do with artificial intelligence, from service operation to utilization.)

Date: Saturday, March 1, 2025

Detail page: https://2025langcon.oopy.io/

Registration: [Langcon2025 - Eventus]( https://event-us.kr/langcon/event/99194 )

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thank you

Park Jo-eun Dream

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