Sentiment Analysis in Python

via

DataCamp

Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Teaching Type

Self Paced

Video Content

4 hours

Course Description

Are you a person who leaves reviews to let others know what you think about a product? Are you able to read product reviews online before purchasing a product? These reviews are valuable not only for you but also for businesses. This course will help you interpret different documents' sentiments. You will use real-world datasets such as product reviews, tweets, movie trailers, and twitter. Additionally, you will use Python nltk and scikit-learn as well as other Python tools. This course will prepare you to do an end-to-end sentiment analysis task, based on the tweets of US airline passengers.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Python Data Science Toolbox (Part 2)

What You Will Learn

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

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

Course Content

Expand all sections

Module 1: Sentiment Analysis Nuts and Bolts

Module 2: Numeric Features from Reviews

Module 3: More on Numeric Vectors: Transforming Tweets

Module 4: Let's Predict the Sentiment

Course Instructors

Violeta Misheva

Data Scientist

Violeta is a data scientist passionate about machine learning, natural language processing and fair and explainable algorithms, among others. She supplements her machine learning knowledge with her d...