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自然言語処理

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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

Syntax Analysis

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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Learn on your time
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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
Open enrolment · Start today

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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 was blown away by the '自然言語処理' course at Stanmore School of Business! As a data scientist from the United States, I wanted to improve my skills in natural language processing to work on projects involving text analysis. This course exceeded my expectations, providing a comprehensive introduction to the field, including hands-on experience with popular libraries like NLTK and spaCy. The instructor's explanations were thorough, and the course materials were top-notch. I was able to apply the concepts learned in the course to a real-world project, achieving a significant improvement in the accuracy of my text classification model. I highly recommend this course to anyone looking to gain practical skills in NLP.

CB
Camille Bernard
FR · Course completed

I found the '自然言語処理' course to be quite informative and engaging. As a linguistics student from France, I was looking to expand my knowledge of NLP and its applications. The course covered a wide range of topics, from the basics of language modeling to more advanced techniques like deep learning for NLP. I appreciated the emphasis on practical examples and the use of real-world datasets to illustrate key concepts. The course materials were well-organized, and the instructor provided helpful feedback on assignments. While I felt that some topics could have been explored in more depth, overall I was satisfied with the course and would recommend it to others interested in NLP.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The '自然言語処理' course at Stanmore School of Business was an incredible experience! As a software engineer from Japan, I was eager to learn about the latest advancements in NLP and how to apply them to my work. This course delivered on all fronts, with a perfect balance of theory and practice. The instructor was knowledgeable and enthusiastic, making complex concepts seem easy to grasp. I was particularly impressed by the section on Japanese language processing, which was both informative and entertaining. The course materials were excellent, with many useful resources and references for further learning. I've already started working on a project involving sentiment analysis, and I'm confident that the skills I gained in this course will help me achieve my goals.

RK
Rahul Kapoor
IN · Course completed

I enrolled in the '自然言語処理' course at Stanmore School of Business looking to enhance my skills in text analysis and processing. As a researcher from India, I was interested in exploring the applications of NLP in social media and sentiment analysis. The course provided a solid foundation in the basics of NLP, including tokenization, stemming, and lemmatization. I found the section on topic modeling to be particularly useful, and I appreciated the opportunity to work with different datasets and tools. The instructor was responsive to questions and provided helpful guidance throughout the course. While I felt that the course could have benefited from more advanced topics, such as transfer learning and attention mechanisms, overall I was satisfied with the experience and would recommend it to others looking to get started with NLP.





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Recently updated!

May 2026