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Sentiment Analysis in Python

IntermediateSkill Level
4.7+
138 reviews
Updated 02/2024
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 hr16 videos60 Exercises5,050 XP21,114Statement 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
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Don’t just take our word for it

*4.7
from 138 reviews
81%
17%
1%
0%
0%
  • Elizabeth
    about 16 hours

  • Nghia
    2 days

  • Josue
    3 days

  • Pablo
    6 days

  • Bishal
    8 days

    This course becomes cherry on top if you already some basics of NLP before directly jumping into this course. This course helped me understand properly about Sentiment analysis. I highly recommend this course to everyone.

  • Lingxiao
    12 days

Elizabeth

Nghia

Josue

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