Available both online and on-site, these instructor-led live training courses on Sentiment Analysis (also referred to as opinion mining or emotion AI) explore the core principles and advanced concepts of the discipline through interactive discussions and practical exercises.
Training options include "online live training" or "onsite live training." Online live sessions, often described as "remote live training," are conducted via an interactive remote desktop. Onsite live training takes place either locally at the customer's premises in Copenhagen or at NobleProg's corporate training facilities in Copenhagen.
You can also take bus 26 or 7A and get off around Vesterbros Torv; from there it is a short walk.
By bus
Useful nearby stops include:
Vesterbros Torv (Vesterbrogade) — about 1 minute from the area.
Frederiksberg Allé (Vesterbrogade) — nearby.
Trommesalen (Vesterbrogade) — nearby.
Bus 26 and 7A serve the Vesterbrogade corridor.
København, Copenhagen
NobleProg København, Bredgade 37, København K, denmark, 1260
Near Amalienborg Palace & Royal Theatre.
If you arrive by train
If you arrive at Copenhagen Central Station (København H):
Walk to København H Metro.
Take the M3 or M4 metro toward Kongens Nytorv.
Get off at Kongens Nytorv.
Walk north toward Nyhavn, then continue along Bredgade.
Bredgade 37 is about 500 m / 6 minutes' walk from Kongens Nytorv.
Another easy option
Marmorkirken (Marble Church) Metro Station is also very close to Bredgade 37. The nearby Bredgade area is about 2 minutes' walk from Marmorkirken station.
By bus
There are bus stops around Dronningens Tværgade / Bredgade, so you can also travel by bus and walk the final few minutes.
This live, instructor-led training in Copenhagen (delivered online or onsite) is designed for intermediate-level data and marketing professionals aiming to utilize LLMs for analyzing and interpreting public sentiment from various text sources, such as social media posts, product reviews, and customer feedback.
By the end of this program, participants will be able to:
Understand the core principles of sentiment analysis and how they are applied using LLMs.
Prepare and preprocess datasets specifically for sentiment analysis workflows.
Train and fine-tune LLMs to accurately identify and reflect sentiment in text.
Monitor and analyze sentiment in real-time from social media and other text-based sources.
Integrate sentiment analysis results into business strategies and strategic decision-making processes.
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