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. Brisbane onsite live Sentiment Analysis trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
200 Mary Street, Brisbane
Level 16, 200 Mary Street, Brisbane, Australia, 4000
The 200 Mary Street business centre is located only 125 metres from the Brisbane GPO, strategically located within Brisbaneâ€...
The 200 Mary Street business centre is located only 125 metres from the Brisbane GPO, strategically located within Brisbane’s premier financial district known as ‘the Golden Triangle’. Situated on Level 16 and boasting views over the Brisbane River, hinterland and the CBD, the centre provides the ideal setting to showcase your business in a contemporary environment with fully-equipped work space.
200 Mary Street is immersed in Brisbane’s city life with everything at your doorstep, from key transport links to restaurants and bar as well as hotels. The centre is serviced by the City Cat service and Central Train Station, which is less than five minutes walk.
This instructor-led, live training in Brisbane (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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