Kielce

B&B HOTEL Kielce Centrum, Warszawska 19, Kielce, Poland, 25-516

The training rooms are located in the city center, at the intersection of Warszawska Street and Aleja IX Wieków Kielc. Just a short, few-minute walk separates the facility from the train station and the bus stop, and the proximity of Route E77 ensures quick connections to Krakow and Warsaw. Regardless of the mode of transportation you're using, you can easily reach this place.

Ostrowiec Świętokrzyski

Centrum Biurowo – Konferencyjne, Sandomierska 26A, Ostrowiec Świętokrzyski, Poland, 27-400

The training rooms are spacious, well-lit, and excellently equipped, providing comfortable conditions for participants. Additionally, the building features a ramp and an elevator, facilitating access for individuals with limited mobility and easing the transportation of training equipment. The facility is located just 3.5 kilometers from the city center, allowing for quick and easy access to other urban attractions. Moreover, it is only 600 meters away from the nearest bus stop, making it convenient for participants using public transportation.

Explore Our Courses

LLMs for Sentiment Analysis

 21 Hours
This instructor-led, live training in świętokrzyskie (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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