Sentiment Analysis: Comparison of Machine Learning & Deep Learning Algorithms using Python

Опубликовано: 09 Январь 2022
на канале: TK Chung

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This is the explanation and demo video of an educational project using the IMDB movie review dataset to derive a sentiment predictor from both traditional machine learning and deep learning algorithms. The objective is to showcase the characteristics of machine learning and deep learning algorithms, and their pros and cons. It also explains the high-level concepts of the workings of machine learning and deep learning algorithm. The project is coded in Python on Jupyter Notebook.

All the Python code and slides are available at:
https://github.com/TKChung9891/IMDB-S...

This project is also contained in the portfolio website:
https://sites.google.com/view/tkportf...

Time codes:
00:00 - Introduction
00:24 - Theoretical Concepts
02:18 - IMDB Dataset
03:11 - Data Pre-processing
06:25 - Logistics Regression
07:34 - Support Vector Machine
08:27 - Naïve Bayes
09:37 - Deep Learning Concept
11:58 - Deep Learning Python code
14:36 - Machine Learning vs Deep Learning

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