
모두의 한국어 텍스트 분석과 자연어처리 with 파이썬
박조은
파이썬 한국어 텍스트 분석과 자연어처리 워드클라우드 시각화, 형태소 분석, 토픽모델링, 군집화, 유사도 분석, 텍스트데이터 벡터화를 위한 단어 가방과 TF-IDF, 머신러닝과 딥러닝을 활용한 텍스트 분류, 허깅페이스 활용법
Basic
NLP, 텍스트마이닝, 머신러닝
This is a class that will provide basic theory and practice of natural language processing through the IMDB movie review sentiment analysis competition on Kaggle.

Natural Language Processing (NLP)
Text data preprocessing (normalization, tokenization, stemming, morphological analysis, stem extraction, phonetic notation)
Text data visualization techniques (Matplotlib, Seaborn), Machine learning (Scikit-learn)
Deep Learning/Machine Learning, Data Analysis
Simple Perceptron Implementation Using Python Standard Library
Online Learning, Vowpal Wabbit Concept
Various text data vectorization techniques (Bag of Words, n-gram, TF-IDF, Word2Vec)
Optimize performance through pipeline implementation
Ensemble (Random Forest) and Boosting (Xgboost) Techniques
Machine Learning Sentiment Analysis in Movie Reviews 🎞️
From data preprocessing to evaluation and prediction!
This lecture is a class that covers the basic theories and practices necessary for natural language processing through the IMDB movie review sentiment analysis competition on Kaggle. Natural language processing is widely used in chatbots, text analysis, and data preprocessing when developing machine learning/deep learning models.
It covers natural language processing, but it also covers data preprocessing, various machine learning techniques, and deep learning techniques, and it also looks at how to utilize supervised learning and unsupervised learning. In addition to the basic tutorials on Kaggle, it will additionally cover text data visualization, preprocessing, and performance improvement through parallel processing through pipelines. Let's challenge together?
Check out the lecture tutorial first!
complicated
From text data
To find meaning
The person who does it
For development
Natural language processing
Want to learn
Chatbot Developer
Required for sentiment analysis
Various techniques
Want to learn
Data Analyst
Machine learning/deep learning,
NLP etc.
Easy and fun
For those who want to get started
You can learn classification techniques of machine learning through IMDB movie review data. You will learn how to utilize supervised and unsupervised learning of machine learning . For supervised learning, you will learn sentiment analysis through machine learning, and for unsupervised learning, you will learn dimension reduction and clustering techniques.
📣 Please check before taking the class!
Knowledge Sharer Park Jo-eun X Inflearn Interview
Who is this course right for?
Anyone who wants to find meaning from complex text data
Chatbot developers, data analysts, machine learning, deep learning beginners
Need to know before starting?
Python Pandas Data Analysis
Machine Learning/Deep Learning Basics
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Learners
798
Reviews
1,336
Answers
4.8
Rating
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20년이상 게임, 광고, 교육 등 다양한 도메인에서 웹 백엔드 개발자 및 데이터 분석가 현업 경험
All
17 lectures ∙ (3hr 30min)
All
41 reviews
4.6
41 reviews
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