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. Erfurt 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 Otto-Schwade-Strasse 8 in Erfurt. Our spa...
Overview
Our training facilities are located at Otto-Schwade-Strasse 8 in Erfurt. Our spacious training rooms are located to the east of Erfurt's old town and offer optimal training conditions for your needs.
Directions
The NobleProg training rooms are easy to reach via the A71 motorway and the B7 federal road. If you arrive by train, it is not far to Erfurt main station with its good ICE connections.
Parking spaces
There are parking spaces in the surrounding streets around our training rooms.
Local infrastructure
There are numerous restaurants and hotels in the old town, which can be reached on foot, and as the capital of Thuringia, Erfurt has a lot to offer.
This instructor-led, live training in Erfurt (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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