How can the implementation of artificial intelligence help in terms of the automated process of analysing the sentiment of the content of posts, posts, banners, etc. posted by Internet users on popular online social media, analysing changes in opinion on specific topics, changes in trends of general social awareness, etc. conducted using computerised Big Data Analytics platforms?
How can the computerised analytics system architecture of Big Data Analytics platforms used to analyse the sentiment of Internet users' social media activity be improved using the new technologies of Industry 4.0, including but not limited to artificial intelligence, deep learning, machine learning, etc.?
In recent years, analytics conducted on large data sets downloaded from multiple websites using Big Data Analytics platforms has been developing rapidly. This type of analysis also includes sentiment analyses of changes in Internet users' opinions on specific topics, issues, opinions on product and service offers, brands of companies, public figures, political parties, etc., based on verification of thousands of posts and comments, answers given in discussions posted on social media sites. With the ever-increasing capabilities in terms of computing power of new generations of microprocessors and the speed of processing data stored on increasingly large digital storage media, the importance of increasing the scale of automation of the processes carried out during the aforementioned sentiment analyses is increasing. Certain new technologies of Industry 4.0, including machine learning, deep learning and artificial intelligence, are coming to the aid of this issue. I am conducting research on the process of sentiment analysis of the content of posts, posts, banners, etc. posted by Internet users on popular online social media, analysis of changes in opinion on specific topics, changes in trends of general social awareness, etc. conducted using computerised Big Data Analytics platforms. I have included the results of these studies in my articles on this subject. I have also posted these articles after publication on my profile of this Research Gate portal. I would like to invite you to join me in scientific cooperation on this issue.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
How can the implementation of artificial intelligence help in terms of the automated process of analysing the sentiment of the content of posts, posts, banners, etc. posted by Internet users on popular online social media, analysing changes in opinion on specific topics, changes in trends of general social awareness, etc. conducted using computerised Big Data Analytics platforms?
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Thank you very much,
Warm regards,
Dariusz Prokopowicz
Salesforce Tableau puts AI in driver’s seat for big data
“Data-driven” is a mantra for countless organizations, but it’s a back-seat driver, useful only to the extent that decision-makers can parse and interpret it and comprehend its implications.
Indeed, a 2022 survey-based study from strategy firm NewVantage found organizations continue to struggle to become data-driven, with only 26.5% reporting having achieved this goal, and only 19.3% reporting having established a data culture.
Business software titan Salesforce said a raft of enhancements to its Tableau project management platform will help decision makers live up to the phrase “data driven” by making big data more user-friendly. The company said the changes feature automation to processes and new integration features meant to make data easy to visualize, manipulate and share on Slack, its hub for communications, collaboration and customer engagement...
https://www.techrepublic.com/article/salesforce-openai-chatgpt-powers-einstein-ai/
https://c6abb8db-514c-4f5b-b5a1-fc710f1e464e.filesusr.com/ugd/e5361a_2f859f3457f24cff9b2f8a2bf54f82b7.pdf
https://www.techrepublic.com/article/salesforce-tableau-ai-big-data/
Artificial Intelligence is a chip driven algorithm that can analyze and implement decisions several times faster than human workers and it works 24x7. It collects certain data inputs recognizes patterns and picks nearest decision making algorithm and executes action. But it is merely a tool. It needs building a information system, recognizing patterns of responses and behavior of social media users and consumers .It can recognize certain combination of words and their sequencing and come to conclusion abut particular behavior or sentiment . hence it is the modelling expertise of experts that use AI power to pick patterns and derive conclusions. Fr humans it is almost impossible to analyze Realtime big data and key words. Even countries monitor internet traffic to recognize terrorism related messages by using AI .Millions of financial transactions are monitored by super computers and red flagging the suspicious ones or related to tax evasion
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For industrial maintenance and energy saving applications, multiple algorithms can be used to develop advanced equipment analytics. But which one is most effective?
https://www.automationworld.com/analytics/article/33009432/digital-twins-and-artificial-intelligence-assessing-the-most-popular-methodologies?utm_source=AW+Factory+Automation&utm_medium=email&utm_campaign=CPS230928117&o_eid=8360I8613690H9M&rdx.ident[pull]=omeda|8360I8613690H9M&oly_enc_id=8360I8613690H9M
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