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 trainings in Osaka can be carried out locally on customer premises or in NobleProg corporate training centers.
Osaka's Kokusai Centre is on the top floor of a 31-storey landmark building in Honmachi within the city's main business distr...
Osaka's Kokusai Centre is on the top floor of a 31-storey landmark building in Honmachi within the city's main business district. This centre features wide windows letting in lots of natural light. Osaka is an attractive choice for foreign enterprises seeking to enter the Japanese market, particularly in the service and IT sectors. The Kansai region is home to top global companies from the electrical equipment, chemical, food, pharmaceutical, and finance industries. In recent years, leading companies in the environmental and energy industries have set up business bases here and the Kansai region is a centre for battery production. The centre is highly accessible as it's just five minutes' walk from both Honmachi subway station and Osaka/Umeda station and Shinsaibashi/Namba station, as well as being less than 40 minutes from either Osaka International Airport or Kansai International Airport. The centre is close to many local amenities including restaurants and hotels.
This instructor-led, live training in Osaka (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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