• For Individuals
  • For Businesses
  • For Universities
  • For Governments
Coursera
  • Online Degrees
  • Careers
  • Log In
  • Join for Free
    Coursera
    Chevron Left
    Back to Natural Language Processing with Classification and Vector Spaces

    Learner Reviews & Feedback for Natural Language Processing with Classification and Vector Spaces by DeepLearning.AI

    Filled StarFilled StarFilled StarFilled StarHalf Faded Star
    4.6
    stars
    4,554 ratings

    About the Course

    In Course 1 of the Natural Language Processing Specialization, you will: a) Perform sentiment analysis of tweets using logistic regression and
    then naïve Bayes, b) Use vector space models to discover relationships between words and use PCA to reduce the dimensionality of the vector
    space and visualize those relationships, and c) Write a simple English to French translation algorithm using pre-computed word embeddings and
    locality-sensitive hashing to relate words via approximate k-nearest neighbor search. By the end of this Specialization, you will have
    designed NLP applications that perform question-answering and sentiment analysis, created tools to translate languages and ...
    ...

    Top reviews

    MR

    Feb 12, 2023

    Filled StarFilled StarFilled StarFilled StarFilled Star

    I really enjoy and this course is exactly what I expect. It covers both practical and conceptual aspects greatly and I recommend everyone to enroll in this course to make their NLP foundations strong

    YB

    Oct 16, 2022

    Filled StarFilled StarFilled StarFilled StarFilled Star

    This course is excellent and is well-organized​. I would definitely recommend it to others. The instructor​ explains the topic in a crystal clear way​. I​ learned a lot and had a great time. Thanks!

    Filter by:

    826 - 850 of 900 Reviews for Natural Language Processing with Classification and Vector Spaces

    Filled StarFilled StarFilled StarStarStar

    By WU N

    •

    Jan 27, 2024

    The videos are not very detailed, and the pronunciation of lecturer is something hard to recognise.

    Filled StarFilled StarFilled StarStarStar

    By Susie B

    •

    Oct 15, 2021

    In general, good. Misspellings in assignments is not very professional, should be revised.

    Filled StarFilled StarFilled StarStarStar

    By Phillip

    •

    Sep 20, 2020

    Would be good if there are more checkpoints to see if the codes are correct or not.

    Filled StarFilled StarFilled StarStarStar

    By Kiran K

    •

    Feb 19, 2025

    but when it comes to text converting i am expecting more in model point of view

    Filled StarFilled StarFilled StarStarStar

    By Abhinay C

    •

    Mar 15, 2024

    There should have been a little more elaboration in week 4 final content

    Filled StarFilled StarFilled StarStarStar

    By Kestin C

    •

    Oct 29, 2020

    Some example is hard to understand, and few of the diagram is ambiguous.

    Filled StarFilled StarFilled StarStarStar

    By Alex A

    •

    Dec 21, 2020

    Especially later excercises contain code/instructions that are unclear

    Filled StarFilled StarFilled StarStarStar

    By Luiz O V B O

    •

    Jun 24, 2021

    I would like to have more content and explanation about the math

    Filled StarFilled StarFilled StarStarStar

    By john s

    •

    Jan 10, 2021

    I don't feel the assignments help understand the material.

    Filled StarFilled StarFilled StarStarStar

    By Huang J

    •

    Dec 23, 2020

    The videos are too short. Discussions are oversimplified.

    Filled StarFilled StarFilled StarStarStar

    By Renato R G

    •

    Dec 14, 2021

    It is an interesting course to learn the basics of NLP

    Filled StarFilled StarFilled StarStarStar

    By Anish S

    •

    Nov 9, 2020

    good for beginners, but needs more advanced concepts.

    Filled StarFilled StarFilled StarStarStar

    By Sonam G

    •

    Aug 2, 2020

    The explanations in the videos could be improved.

    Filled StarFilled StarFilled StarStarStar

    By Deleted A

    •

    Jun 27, 2020

    No longer required. Beyond my present knowledge.

    Filled StarFilled StarFilled StarStarStar

    By Shayan J

    •

    Dec 26, 2020

    Content is verbose and locks context in places

    Filled StarFilled StarFilled StarStarStar

    By Lorena P

    •

    Feb 15, 2021

    I believe that explanations where too shallow

    Filled StarFilled StarFilled StarStarStar

    By Zaid A

    •

    Dec 11, 2021

    very good course, a lot of stat and math

    Filled StarFilled StarFilled StarStarStar

    By Sihao L

    •

    Aug 19, 2020

    So many small mistakes here and there

    Filled StarFilled StarFilled StarStarStar

    By Devarsh M

    •

    Feb 12, 2023

    Disappointed. need better syllabus

    Filled StarFilled StarFilled StarStarStar

    By Kaufland e S G A : H 2 5 K

    •

    Jul 5, 2022

    Mentor needed for the assignments!

    Filled StarFilled StarFilled StarStarStar

    By Harshita B

    •

    Dec 4, 2020

    I didn't quite get the feel of it

    Filled StarFilled StarFilled StarStarStar

    By Spandan.Pandey B

    •

    Mar 27, 2022

    Problems in week 3 Assignment

    Filled StarFilled StarFilled StarStarStar

    By jkf

    •

    Oct 15, 2020

    Just ignore the video!

    Filled StarFilled StarFilled StarStarStar

    By Rishik R

    •

    Apr 5, 2021

    Too easy

    Filled StarFilled StarFilled StarStarStar

    By Dmitriy I

    •

    Jan 29, 2021

    Too easy

    • Chevron Left
    • 1
    • ...
    • 26
    • 27
    • 28
    • 29
    • 30
    • 31
    • 32
    • 33
    • 34
    • 35
    • 36
    • Chevron Right

    Coursera Footer

    Technical Skills

    • ChatGPT
    • Coding
    • Computer Science
    • Cybersecurity
    • DevOps
    • Ethical Hacking
    • Generative AI
    • Java Programming
    • Python
    • Web Development

    Analytical Skills

    • Artificial Intelligence
    • Big Data
    • Business Analysis
    • Data Analytics
    • Data Science
    • Financial Modeling
    • Machine Learning
    • Microsoft Excel
    • Microsoft Power BI
    • SQL

    Business Skills

    • Accounting
    • Digital Marketing
    • E-commerce
    • Finance
    • Google
    • Graphic Design
    • IBM
    • Marketing
    • Project Management
    • Social Media Marketing

    Career Resources

    • Essential IT Certifications
    • High-Income Skills to Learn
    • How to Get a PMP Certification
    • How to Learn Artificial Intelligence
    • Popular Cybersecurity Certifications
    • Popular Data Analytics Certifications
    • What Does a Data Analyst Do?
    • Career Development Resources
    • Career Aptitude Test
    • Share your Coursera Learning Story

    Coursera

    • About
    • What We Offer
    • Leadership
    • Careers
    • Catalog
    • Coursera Plus
    • Professional Certificates
    • MasterTrack® Certificates
    • Degrees
    • For Enterprise
    • For Government
    • For Campus
    • Become a Partner
    • Social Impact
    • Free Courses
    • ECTS Credit Recommendations

    Community

    • Learners
    • Partners
    • Beta Testers
    • Blog
    • The Coursera Podcast
    • Tech Blog
    • Teaching Center

    More

    • Press
    • Investors
    • Terms
    • Privacy
    • Help
    • Accessibility
    • Contact
    • Articles
    • Directory
    • Affiliates
    • Modern Slavery Statement
    • Manage Cookie Preferences
    Learn Anywhere
    Download on the App Store
    Get it on Google Play
    Logo of Certified B Corporation
    © 2025 Coursera Inc. All rights reserved.
    • Coursera Facebook
    • Coursera Linkedin
    • Coursera Twitter
    • Coursera YouTube
    • Coursera Instagram
    • Coursera TikTok
    Coursera

    Sign up

    Learn on your own time from top universities and businesses.

    ​
    ​
    Between 8 and 72 characters
    Your password is hidden
    ​

    or

    Already on Coursera?


    I accept Coursera's Terms of Use and Privacy Notice. Having trouble logging in? Learner help center

    This site is protected by reCAPTCHA Enterprise and the Google Privacy Policy and Terms of Service apply.