Suzhou, Jinghope Plaza

11/F, 11/F, Tower 2, 88 Hua Chi Street, SIP, Suzhou, China, 215021

Situated right in the core of the Suzhou industry zone, The Regus Centre is on the 11th floor of Jinghope Plaza. Jinghope Plaza is a mixed use complex comprising a high-end shopping mall, 5 star hotel and international Grade A office building. It is one of the most prestigious landmarks in the financial center of Suzhou. Advanced facilities and central location attract many Fortune 500 companies such as Nokia, Philips and 3M. Jinghope Plaza has easy access to excellent facilities and amenities in Suzhou. Metro Line 1 Times Square station is just in the basement of the complex. The high-speed train station which provides easy transportation to Shanghai and Nanjing is only a 5 minutes drive from the centre.

Jinhe Plaza

11th Floor, No. 2, 88 Huachi Street, Industrial Park, Suzhou, China, 215021

The center of Jinhe Plaza is located at the core of Suzhou Industrial Zone, on the east bank of Jinji Lake. Jinhe Plaza is a comprehensive building, including high-end shopping malls, five-star hotels, international Grade A office buildings, and Regus is located on the eleventh floor of the building. As the most famous landmark in Suzhou Financial Center, with its advanced facilities and central location, it has attracted many Fortune 500 companies such as Nokia, Philips and 3M. Jinhe Plaza provides easy access to all major core areas of Suzhou. Metro Line 1 Times Square Station is located on the basement of the building, while the High Speed ​​Rail Station to Shanghai and Nanjing is a 5-minute drive away.

Explore Our Courses

LLMs for Sentiment Analysis

 21 Hours

This instructor-led, live training in SuZhou (online or onsite) is aimed at intermediate-level data and marketing professionals who wish to apply LLMs to analyze and interpret public sentiment from various text sources such as social media posts, product reviews, and customer feedback.

By the end of this training, participants will be able to:

  • Understand the principles of sentiment analysis and its application using LLMs.
  • Preprocess and prepare datasets for sentiment analysis.
  • Train and fine-tune LLMs to accurately reflect sentiment in text.
  • Analyze sentiment in real-time from social media and other text sources.
  • Integrate sentiment analysis findings into business strategies and decision-making processes.
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Natural Language Processing (NLP)

 21 Hours

This course has been designed for people interested in extracting meaning from written English text, though the knowledge can be applied to other human languages as well.

The course will cover how to make use of text written by humans, such as  blog posts, tweets, etc...

For example, an analyst can set up an algorithm which will reach a conclusion automatically based on extensive data source.

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Upcoming Courses

LLMs for Sentiment Analysis

2025-08-05 09:30
21 hours
Jinhe Plaza

Natural Language Processing (NLP)

2025-08-19 09:30
21 hours
Suzhou, Jinghope Plaza

Natural Language Processing (NLP)

2025-09-02 09:30
21 hours
Jinhe Plaza

LLMs for Sentiment Analysis

2025-09-16 09:30
21 hours
Suzhou, Jinghope Plaza

Natural Language Processing (NLP)

2025-09-30 09:30
21 hours
Jinhe Plaza

Natural Language Processing (NLP)

2025-10-14 09:30
21 hours
Suzhou, Jinghope Plaza

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