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自然语言处理

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Overview

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Learning outcomes

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Course content

1

Text Preprocessing

2

Sentiment Analysis

3

Named Entity Recognition

4

Machine Translation

5

Information Retrieval

Career Path

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Key facts

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Why this course

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People also ask

Everything you need to know before you start

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We offer immediate access to our course materials through our open enrollment system. This means:

  • The course starts as soon as you pay the course fee, instantly
  • No waiting periods or fixed start dates
  • Instant access to all course materials upon payment
  • Flexibility to begin at your convenience

This self-paced approach allows you to begin your professional development journey immediately, fitting your learning around your existing commitments.

We offer two flexible learning paths to suit your schedule:

  • Fast Track: Complete in 1 month with 3-4 hours of study per week
  • Standard Mode: Complete in 2 months with 2-3 hours of study per week

You can progress at your own pace and access the materials 24/7.

There are no formal entry requirements for this course. You just need:

  • A good command of English language
  • Access to a computer/laptop with internet
  • Basic computer skills
  • Dedication to complete the course
Ready when you are
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Assessment is done through:

  • Multiple-choice questions at the end of each unit
  • You need to score at least 60% to pass each unit
  • You can retake quizzes if needed
  • All assessments are online

Upon successful completion, you will receive:

  • A digital certificate from London School of Business and Administration
  • Option to request a physical certificate
  • Transcript of completed units
  • Certification is included in the course fee
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Why people choose us for their career

Trusted by professionals worldwide

Verified outcomes from learners who finished the course and put it to work.

4.5
Based on 4 learner reviews · 4 countries
98%
Would recommend
100%
Verified learners
2026
Cohort active
Completed from United States
MC
Michael Carter
US · Course completed

I'm thrilled to have taken the '自然语言处理' course at Stanmore School of Business! As a professional in the field of AI, I was looking to expand my knowledge in NLP, and this course exceeded my expectations. The course content was comprehensive, covering topics from text preprocessing to deep learning models. I gained practical skills in using popular NLP libraries like NLTK and spaCy, which I've already applied to my current project. The course materials were of high quality, with engaging video lectures and informative reading materials. Overall, I'm extremely satisfied with my learning experience and would highly recommend this course to anyone interested in NLP.

CB
Camille Bernard
FR · Course completed

I found the '自然语言处理' course to be quite interesting, especially the parts on sentiment analysis and language modeling. The course materials were well-structured and easy to follow, with plenty of examples to illustrate the concepts. I appreciated the flexibility of the online format, which allowed me to complete the course at my own pace. One thing that could be improved is the discussion forum, which was a bit quiet at times. Nevertheless, I'm happy with what I learned and feel more confident in my ability to work with NLP tools. The course has given me a solid foundation to build upon, and I'm looking forward to exploring more advanced topics in the future.

KN
Kaito Nakamura
JP · Course completed

WOW, just WOW! The '自然语言处理' course at Stanmore School of Business was an absolute game-changer for me! I was blown away by the quality of the course materials and the expertise of the instructors. The course covered a wide range of topics, from the basics of NLP to more advanced topics like attention mechanisms and transformer models. I was particularly impressed by the hands-on exercises and projects, which allowed me to apply what I learned to real-world problems. The course has opened up new opportunities for me in my career, and I'm excited to see where my newfound knowledge and skills will take me. If you're interested in NLP, don't hesitate to take this course – it's an investment that will pay off in the long run!

RK
Rahul Kapoor
IN · Course completed

I enrolled in the '自然语言处理' course at Stanmore School of Business with the goal of improving my skills in text analysis and machine learning. The course content was detailed and comprehensive, with a good balance of theoretical and practical aspects. I found the video lectures to be informative and engaging, and the reading materials were helpful in reinforcing my understanding of the concepts. One area for improvement could be the addition of more case studies or industry examples to illustrate the practical applications of NLP. Nevertheless, I'm satisfied with what I learned and feel that the course has given me a solid foundation in NLP. The course materials were well-organized, and the instructors were responsive to questions and feedback.





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Recently updated!

May 2026