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Overview
Context
Have you left a review to express how you feel about a product or a service? And do you have a habit of checking a product’s reviews online before you buy it? This kind of information is valuable not only for you but also for companies.
In this Sentiment Analysis in Python course offered by Data Camp, you will learn how to make sense of the sentiment expressed in various documents. You will use real-world datasets featuring tweets, movie and product reviews, and use Python’s nltk and scikit-learn packages.
By the end of the course, you will be able to carry an analysis based on how US airline passengers expressed their feelings on Twitter.
Programme Structure
Chapters include:
- Sentiment Analysis Nuts and Bolts
- More on Numeric Vectors: Transforming Tweets
- Numeric Features from Reviews
- Let's Predict the Sentiment
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- New York City, United States
Disciplines
Machine Learning View 202 other Short Courses in Machine Learning in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Prerequisites:
- Python Toolbox
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
This course can be accessed for free with the Data Camp Premium or Teams subscriptions
Funding
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