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 Adelaide or in NobleProg corporate training centers in Adelaide.
NobleProg -- Your Local Training Provider
Adelaide City Central
Level 5, City Central, Tower 2, Adelaide, Australia, 5000
The Adelaide City Central Centre is in the heart of the city in the legal and financial district. Situated in a premium offic...
The Adelaide City Central Centre is in the heart of the city in the legal and financial district. Situated in a premium office building with outstanding green credentials, the centre is in one of the most technologically advanced buildings in Australia. Tenants in the building include several blue chip companies while the surrounding area is a hub for law firms, banks and insurance companies. Other important businesses in Adelaide include electronics, media, oil and defence. The building which has floor to ceiling windows has the latest technology in place to save substantially on energy, water and air conditioning. As well as offices, the building has a retail area, landscaped plazas and restaurants. The centre is within walking distance of many of Adelaide's attractions including the River Torrens, Adelaide Central Markets and Adelaide Oval.
This instructor-led, live training in Adelaide (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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