Online or onsite, instructor-led live Sentiment Analysis (sometimes known as opinion mining or emotion AI) training courses demonstrate through interactive discussion and hands-on practice the fundamentals and advanced topics of Sentiment Analysis.
Sentiment Analysis training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Cologne onsite live Sentiment Analysis trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
Our training facilities are located at Theodor-Heuss-Ring 23 in Cologne. Located in a ...
Overview
Our training facilities are located at Theodor-Heuss-Ring 23 in Cologne. Located in a modern office building, our premises offer enough space for successful training courses centrally in Cologne, within walking distance of the underground station Ebertplatz.
Arrival
The NobleProg training facilities are located on the left bank of the Rhine, easily accessible from Cologne Central Station via underground lines 16 and 18. The building has a limited number of parking spaces.
Parking
Cars can be parked in the area along the Torstrasse and the nearby side streets, even if you may have to search for a moment. There is no charge for parking.
Local Services
In the area of Cologne's old town there are numerous localities and around the Cologne Cathedral, the landmark of the city, there are numerous hotels.
This instructor-led, live training in Cologne (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.
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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