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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
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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 自然言語処理 course at Stanmore School of Business! As a professional in the field, I was looking to enhance my skills in natural language processing, and this course exceeded my expectations. The instructor's expertise and the quality of the materials were top-notch. I particularly appreciated the hands-on exercises and real-world examples that helped me understand the concepts better. The course content was well-structured, and I was able to apply the knowledge immediately to my work projects. I achieved my learning goals and more - I'm now able to develop more sophisticated NLP models and improve the accuracy of my language processing tasks. I highly recommend this course to anyone looking to gain practical skills in NLP.

KN
Kaito Nakamura
JP · Course completed

I took the 自然言語処理 course at Stanmore School of Business, and it was a great experience. The course materials were comprehensive, and the instructor did a good job of explaining the concepts. I liked that the course included a mix of theoretical and practical lessons - it helped me understand the underlying principles of NLP and how to apply them to real-world problems. One of the most useful things I learned was how to use machine learning algorithms for text classification and sentiment analysis. The course also covered topics like language modeling and topic modeling, which were really interesting. Overall, I'm satisfied with the course, and I think it's a good choice for anyone looking to learn about NLP.

LH
Leila Hassan
EG · Course completed

Wow, just wow! The 自然言語処理 course at Stanmore School of Business was absolutely amazing! I was a bit skeptical at first, but the instructor's enthusiasm and expertise were infectious. The course content was engaging, and the examples were so relevant to my own work in linguistics. I loved the interactive discussions and the opportunity to work on projects that allowed me to apply the concepts to my own research interests. The course materials were also super helpful - the videos, readings, and quizzes all worked together to help me learn and retain the information. I feel like I gained a whole new perspective on NLP and how it can be used to analyze and understand language. I'm so grateful to have taken this course - it's been a game-changer for me!

ÉM
Élise Martin
FR · Course completed

I recently completed the 自然言語処理 course at Stanmore School of Business, and I must say it was a valuable learning experience. As a detail-oriented person, I appreciated the thoroughness of the course materials and the instructor's attention to detail. The course covered a wide range of topics, from the basics of NLP to more advanced topics like deep learning for NLP. I found the lessons on named entity recognition and dependency parsing to be particularly useful, as they helped me improve my skills in text analysis. The course also included a number of practical exercises and projects, which allowed me to apply the concepts to real-world problems. One area for improvement could be the addition of more advanced topics or specializations within NLP, but overall, I'm satisfied with the course and would recommend it to others looking to learn about NLP.





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Recently updated!

May 2026