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Sentiment Analysis in Python

Intermediate
4.6+
16 reviews
Updated 12/2024
Are customers thrilled with your products or is your service lacking? Learn how to perform an end-to-end sentiment analysis task.
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PythonMachine Learning4 hours16 videos60 exercises5,050 XP19,774Statement of Accomplishment

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Course Description

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 course, 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 end-to-end sentiment analysis task based on how US airline passengers expressed their feelings on Twitter.

Prerequisites

Python Toolbox
1

Sentiment Analysis Nuts and Bolts

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2

Numeric Features from Reviews

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3

More on Numeric Vectors: Transforming Tweets

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4

Let's Predict the Sentiment

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Sentiment Analysis in Python
Course
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Don’t just take our word for it

*4.6
from 16 reviews
81%
6%
13%
0%
0%
  • willem h.
    about 2 months

    Good hands-on course to start your own sentiment .

  • Sebastián E.
    10 months

    Nice course

  • Natdanai C.
    10 months

    various useful tools

  • Ömer S.
    12 months

    There iş no gap between informations. They are totaly filling and providing even little detail thats why how you do not lost yourself in pile of information. Thank you

  • Sakirat U.
    about 1 year

    Great course. Very explanatory.

"Good hands-on course to start your own sentiment ."

willem h.

"Nice course"

Sebastián E.

"various useful tools"

Natdanai C.

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