Create a pipeline to remove stop-words, punctuation, and perform tokenization
Understand the theory and intuition behind Naive Bayes classifiers
Train a Naive Bayes Classifier and assess its performance
2 hours
初级
无需下载
分屏视频
英语(English)
仅限桌面
In this hands-on project, we will train a Naive Bayes classifier to predict sentiment from thousands of Twitter tweets. This project could be practically used by any company with social media presence to automatically predict customer's sentiment (i.e.: whether their customers are happy or not). The process could be done automatically without having humans manually review thousands of tweets and customer reviews.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
您要培养的技能
Artificial Intelligence (AI)
Python Programming
Machine Learning
Natural Language Processing
分步进行学习
在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:
Import libraries and datasets
Perform Exploratory Data Analysis
Plot the word cloud
Perform data cleaning - removing punctuation
Perform data cleaning - remove stop words
Perform Count Vectorization (Tokenization)
Create a pipeline to remove stop-words, punctuation, and perform tokenization
Understand the theory and intuition behind Naive Bayes classifiers
This was amazing. I started to worried, because I think that train an ML is too complicated but this guided project show me that this is something that anyone need to learn. Thanks a lot!
由 CC 提供
Jan 21, 2021
Able to follow the lectures and learn about the basics of data processing for text mining. Expect more in-depth knowledge about sentiment analysis.
由 MH 提供
Sep 19, 2020
One of the top 10 instructor I have ever seen, excellent experience.
由 SA 提供
Aug 3, 2021
Great course. The cloud environment didn't match the instructor's at times.