Overview
With the availability of large amounts of text data (such as documents generated from business processes, user created content on social media websites), businesses have found it increasingly essential to analyse such data for insights with automated support. Roles like data scientists, machine learning engineers, natural language processing engineers, AI engineers, chatbot developers are being sought for to perform text mining tasks, build automated text analytics solutions, develop systems that can interact with users in natural language, etc.
This certificate course has been designed to provide you with the fundamental and advanced skills in practical language processing to perform the above tasks. You’ll learn to pre-process text data into structural representation, apply supervised and unsupervised learning approaches to text processing tasks like document classification, topic modeling, information extraction, etc. You’ll also leverage on deep learning techniques to build deep neural network models for sentence classification, sequence labeling, text generation, etc. The application of these essential language processing skills are detailed in sentiment mining for business and the development of conversational UIs (chatbots).
Key Takeaways:
- Pre-process textual data into suitable representation for text analytics
- Build and evaluate language models using appropriate text processing techniques for tasks like document classification, topic modeling, information extraction, etc.
- Apply deep learning techniques on large amounts of textual data to obtain high quality models
- Extract and classify the sentiment polarity opinions from textual data
- Build service chatbots using traditional and machine learning approaches
Modular Courses
Practice Module Application
For Stackable students who want to apply for the Practice Module of the Graduate Certificate in Practical Language Processing, please click the button below to find out more details.
Apply Here
Fees & Subsidies
| Graduate Certificate in Practical Language Processing |
Singapore Citizens
|
Permanent Residents
|
International/Others |
| Text Analytics |
S$2,700 |
S$2,700 |
S$2,700 |
| New Media & Sentiment Mining |
S$2,700 |
S$2,700 |
S$2,700 |
| Text Processing using Machine Learning |
S$3,600 |
S$3,600 |
S$3,600 |
| Conversational UIs |
S$3,600 |
S$3,600 |
S$3,600 |
| Subtotal |
S$12,600 |
S$12,600 |
S$12,600 |
| NUS-ISS Subsidy |
S$5,040 |
S$2,520 |
- |
| 9% GST on nett course fee |
S$680.40 |
S$907.20 |
S$1,134 |
| Total nett fee payable, inclusive of GST |
S$8,240.40 |
S$10,987.20 |
S$13,734 |
Note:
1. The Graduate Certificate (Grad Cert) fees above are valid from 1 July 2022 to 30 June 2025. NUS-ISS reserves the right to amend the fees without notice.
2. The subsidy applies on the start date of the first course of the Grad Cert. Full payment must be made for all courses under the Grad Cert before the start of the first course.
3. Participants who enrol for the entire Grad Cert must join the timetable for the through-train MTech programme. Participants who wish to have a more flexible timetable may opt to take the same courses under NUS-ISS Executive Education but will not be entitled to Grad Cert subsidies.
4. NUS-ISS subsidies are only for eligible self-paying participants.
5. The subsidy will be pro-rated by the courses taken in the Grad Cert. If a participant is given a waiver for a component course, the subsidy will be reduced in proportion.
6. Participants who have previously taken a course, whether in part or in full, but have not received a waiver for the course will not receive subsidy for subsequent attendance of the modular course. The overall subsidy for the Grad Cert will be reduced in proportion.
7. There is no subsidy for the Grad Cert Practice Module.
| |
Full Fee |
| Practice Module (10 Man Days) |
S$200 |
| 9% GST on nett course |
S$18 |
| Total fee payable |
S$218 |