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. Onsite live Sentiment Analysis training can be carried out locally on customer premises in Zapopan or in NobleProg corporate training centers in Zapopan.
NobleProg -- Your Local Training Provider
Guadalajara - Puerta del Hierro
Fifth Floor, Avenida Real Acueducto 360, Guadalajara , Mexico
Situated in the most exclusive area in Guadalajara this business centre is conveniently located with easy access to Andares Shopping Center, the Mexico Plaza Hotel, restaurants and entertainment.
Zapopan-Americas 1586
Avenue of the Americas#1586 , Zapopan, Mexico, 44610
Achieve business excellence at Americas 1586.
Elevate your ambitions with exceptional office space located in Guadalajara’s vibrant financial hub. Work efficiently in modern, light-filled interiors behind the building’s striking mirrored-glass façade, and enjoy stunning views of the verdant fairways of Guadalajara Country Club.
Fuel innovation in fully equipped meeting rooms and connect with driven professionals in bright, collaborative coworking areas. Enjoy a hassle-free commute with convenient on-site parking, bike storage, and easy access to nearby bus and tram routes.
This instructor-led, live training in Zapopan (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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