fastcampus_dl_nlp_chatbot

Contents

Day 01

• Chatbot Overview
• Overview of Korean/English NLP Toolkits
• Overview of Korean/English Dataset
• Training word vectors
• Sentiment classification via TF-IDF
• Slack bot via Slack API

Day 02

• PyTorch Style Guide
• PyTorch Input Pipeline
• Char-CNN for text classifcation

Day 03

• Seq2Seq with Attention for Text generation

Day 04

• (Dynamic/End-to-End) Memory Networks

Dependencies

Python 3

• Codes are written in Anacodna Python 3.6, but might be work in Python 3.x.
• Package management via Conda or virtualenv is recommended.

ML / NLP

• PyTorch
• NLTK
• spacy
• sckit-learn
• gensim
• konlpy (requires Jpype3)
• hgtk
• hangulize
• kroman
• tossi

Interactive / DataFrame / Plot

• jupyter
• pandas
• matplotlib

Slack Bot

• websocket-client
• beautifulsoup4
• slacker