Free preview available
Columbus, United States · Study online with LSBA

自然言語処理

Start now
Preview Unit 1 first
Free · No signup · No credit card · No payment
3976 already enrolled
Flexible schedule
Learn at your own pace
100% online
Learn from anywhere
Shareable certificate
Add to LinkedIn
2 months to complete
at 2-3 hours a week
Share

Overview

Loading...

Learning outcomes

Loading...

Course content

1

Text Preprocessing

2

Sentiment Analysis

3

Named Entity Recognition

4

Machine Translation

5

Syntax Analysis

Career Path

Loading...

Key facts

Loading...

Why this course

Loading...

People also ask

Everything you need to know before you start

Straight answers — no waiting on a reply. Most learners are enrolled within 60 seconds of finding what they need below.

60 sec
From enrol to start
24/7
Course access
Self-paced
Learn on your time
Certificate
Included in fee

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
Most learners finish reading the FAQs and enrol in the same minute.
Self-paced · Certificate included · 24/7 access · 60-second start.
Enrol now

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

You've read the page. The next step is the easy part.

Most learners are inside the course materials within 60 seconds of clicking the button below. Self-paced, instant access, certificate included.

Enrol now
Instant access Certificate included Self-paced Secure checkout

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 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 was looking to enhance my skills in natural language processing, and this course exceeded my expectations. The instructor's explanations were crystal clear, and the practical examples helped me grasp complex concepts like sentiment analysis and text classification. The course materials were top-notch, with relevant case studies and interactive exercises that made learning fun and engaging. I achieved my learning goals and gained hands-on experience with popular NLP libraries like NLTK and spaCy. I'd highly recommend this course to anyone interested in NLP - it's a game-changer!

LH
Leila Hassan
EG · 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 researcher from Egypt, I was interested in exploring the applications of NLP in Arabic language processing. The course provided a solid foundation in NLP concepts, and the instructor's feedback was helpful in clarifying my doubts. I appreciated the diversity of topics covered, from tokenization to topic modeling. However, I felt that some of the assignments could be more challenging. Overall, I'm satisfied with the course and would recommend it to others interested in NLP. The course materials were well-structured, and the discussion forums were active and helpful.

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 journey! As a software engineer from Japan, I was looking to improve my skills in NLP, and this course delivered. The instructor's enthusiasm was contagious, and the course content was meticulously curated. I loved the hands-on projects, which helped me develop practical skills in text preprocessing, named entity recognition, and machine translation. The course materials were of the highest quality, with detailed notes, videos, and code examples. I'm so grateful to have taken this course - it's opened up new avenues for me in the field of NLP. If you're interested in NLP, don't hesitate to enroll - you won't regret it!

RK
Rahul Kapoor
IN · Course completed

I enrolled in the '自然言語処理' course at Stanmore School of Business with a clear goal in mind - to learn about NLP and its applications in industry. As a data analyst from India, I was pleased to find that the course covered a wide range of topics, from the basics of NLP to advanced techniques like deep learning for NLP. The instructor's explanations were clear and concise, and the course materials were well-organized. I appreciated the opportunity to work on real-world projects, which helped me develop a deeper understanding of NLP concepts. One area for improvement could be the addition of more case studies specific to the Indian context. Overall, I'm satisfied with the course and would recommend it to others interested in NLP. The discussion forums were also helpful in clarifying my doubts and learning from peers.





Shareable certificate

Add to your LinkedIn profile

Taught in English

Clear and professional communication

Recently updated!

May 2026