Hands On Training

Sentiment Analysis in Python

Name: Sentiment Analysis in Python
Brand: Careervira
Price: 71 USD
Availability: InStock
Rating: 5.0 (3 reviews)

DataCamp

(3)

Course Report

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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.

Highlights

Rating & Reviews

Top 30 Percentile

Pedagogy

Top 30 Percentile

Parameters

Pedagogy

Acquire all major Python Programming skills in this course for seamless integration into your daily life. Develop a versatile skill set, allowing you to confidently apply what you've learned in various practical scenarios, enhancing your daily experiences and overall proficiency. An exceptional course in Python Programming, this stands out for its Self Paced learning approach. Learners have the flexibility to progress at their own speed, tailoring the experience to their individual needs.

Rating & Reviews

This highly acclaimed course is among the top-rated in Python Programming, boasting a rating greater than 4 and an overall rating of 5.0. Its exceptional quality sets it apart, making it an excellent choice for individuals seeking top-notch learning experience in Python Programming.

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

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

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...

Course Reviews

Average Rating Based on 3 reviews

5.0

100%