In order to analyze the sentiment on downloaded data from social media portals (such as Facebook, Tweeter, LinkedIn, but also YouTube, Instagram ...) and aggregated in Big Data database systems, it is necessary to use specialized software for extraction and analysis of these data.
The quality of the data transferred to, for example, Excel sheets depends on the quality of the extraction process carried out with the help of specialized software.
Then, the quality of data analysis software in Excel sheets or in systems of computerized analytical platforms depends on the result obtained, the answer to the question given to the collected, initially unstructured data in the Big Data database system.
In the future, artificial intelligence may be used for this purpose, and the whole process of purposeful analysis of collected data will proceed in a much more effective, automated manner, less probable errors, will be a cheaper research process and will be carried out much faster even on much larger information collection than current.
In view of the above, the current question is: What will the directions of development of analytical processes carried out sentiment analyzes on data collected in Big Data database systems in the future?
Please, answer, comments. I invite you to the discussion.
What you described is already here (hopefully nobody uses Excel for storing data!). The future is in combining text, images and video understanding algorithms which will enrich context processing. Hopefully.
The issues of the use of information contained in Big Data database systems for the purposes of conducting Business Intelligence analyzes are described in the publications:
https://www.researchgate.net/publication/323244120_The_Big_Data_technologies_as_an_important_factor_of_electronic_data_processing_and_the_development_of_computerized_analytical_platforms_Business_Intelligence
https://www.researchgate.net/publication/327035102_The_Technological_Solutions_Big_Data_and_the_Importance_of_Business_Analysis_According_to_the_Business_Intelligence_Formula
I invite you to discussion and cooperation. Greetings
The Big Data database technology is finding more and more applications in business.
Multi-criteria processing of huge data sets collected in Big Data database systems allows preparing reports in a relatively short time according to given criteria.
The report development time depends mainly on the computing power of Big Data servers.
In processes of complex economic and financial analyzes, risk management, etc. for the purpose of determining the economic and financial situation of business entities, they are increasingly carried out in computerized analytical platforms of the Business Intelligence type.
Perhaps in the future, artificial intelligence will also be involved in this field of analytics.
In some countries, IT companies have been operating for several years, developing the Big Data database technology for commercial and business purposes.
It is only a matter of time to combine these various analytical and database technologies in computing cloud computing.
In view of the above, the current question is: In which sectors of the economy, in which types of companies and corporations will be the most dynamically developed technologies for analyzing large collections of information in Big Data database systems
Please, answer, comments. I invite you to the discussion.
The above question inspired me to the following considerations:
The question of the accuracy of prognostic research carried out on the basis of an analysis of the sentiment of verifying the comments of Internet users archived in Big Data systems?
Currently, many research centers use sentiment analysis by examining the content of comments, posts and news of thousands or millions of users of social media portals and other websites. The sentiment analysis is carried out on large collections of information collected from the deliberately selected many websites and stored in Big Data database systems. This analysis is carried out periodically at specific time intervals to diagnose changes in the main trends of general social awareness, including opinions on specific topics in society. This analysis may also refer to the diagnosis of dominant political sympathies, specific political views and opinions on selected political topics. This analysis is also used to examine the public support at a given time for specific politicians, candidates in the presidential elections or parliamentary elections. If this type of sentiment analysis is carried out directly by presidential or parliamentary elections, then it can be treated as an additional research instrument of a prognostic nature. There were results obtained from this type of prognostic analyzes characterized by a high level of accuracy of prognostic research.
In view of the above, the current question is: The question of the accuracy of prognostic research carried out on the basis of an analysis of the sentiment of verifying the comments of Internet users archived in Big Data systems?
Please, answer, comments. I invite you to the discussion.
Will future Big Data database systems supported by artificial intelligence be used in precise forecasting in order to verify futurological projections?
Currently, it is difficult to define this type of analytic problem. The key issue is forecasting future global problems. It is necessary to collect additional analytical data over the next years, and perhaps in the 21st century, in huge Big Data database systems supported by another generation of artificial intelligence, it will be possible to predict what may happen to the planet Earth in the future.
In view of the above, the current question is: Will future Big Data database systems supported by artificial intelligence be used in precise forecasting for the verification of futurological projections?
Please, answer, comments. I invite you to the discussion.
Do Big Data companies use Business Intelligence analyzes in enterprises operating in your countries?
The Big Data database technology is finding new applications in business.
Multi-criteria processing of huge data sets collected in Big Data database systems allows preparing reports in a relatively short time according to given criteria.
The report development time depends mainly on the computing power of Big Data servers.
In processes of complex economic and financial analyzes, risk management, etc. for the purpose of determining the economic and financial situation of business entities, they are increasingly carried out in computerized analytical platforms of the Business Intelligence type.
Perhaps in the future, artificial intelligence will also be involved in this field of analytics.
In some countries, IT companies have been operating for several years, which develop Big Data database technology for commercial and business purposes.
Some technology companies produce Business Intelligence platforms for business entities.
Research centers of the largest technology companies on the Internet develop technologies of artificial intelligence.
It is only a matter of time to combine these various analytical and database technologies in computing cloud computing.
In view of the above, the current question is: Do Big Data companies use Business Intelligence to operate in your countries?
Please, answer, comments. I invite you to the discussion.
Are there any ongoing work to implement artificial intelligence for the analysis processes of large collections of information collected in Big Data database systems?
Business entity management processes are more and more often supported by computerized Business Intelligence platforms that facilitate multi-criteria analysis and reporting.
Probably in the future, the business analyst will be supported by artificial intelligence.
It would be a great advance in the field of automation and objectification of multi-criteria economic analyzes of business entities.
Complex, multi-criteria analyzes regarding the verification of large companies' operations require aggregation and analytical processing of large data sets in Big Data database systems.
However, in what direction will technological progress be realized in this field?
In the future, as part of the progressing computerization of analytical processes, it will be possible to implement artificial intelligence to the processes of analyzing large collections of information collected in Big Data database systems.
In view of the above, I am asking you: Are there any ongoing works to implement artificial intelligence to the processes of analyzing large collections of information collected in Big Data database systems?
Please, answer, comments. I invite you to the discussion.
In which sectors of the economy will the most dynamic technologies develop the Big Data information collection analysis?
In which sectors of the economy, in which types of companies and corporations will develop the most dynamic technologies for analyzing large collections of information in Big Data database systems
The Big Data database technology is finding more and more applications in business.
Multi-criteria processing of huge data sets collected in Big Data database systems allows preparing reports in a relatively short time according to given criteria.
The report development time depends mainly on the computing power of Big Data servers.
In processes of complex economic and financial analyzes, risk management, etc. for the purpose of determining the economic and financial situation of business entities, they are increasingly carried out in computerized analytical platforms of the Business Intelligence type.
Perhaps in the future, artificial intelligence will also be involved in this field of analytics.
In some countries, IT companies have been operating for several years, developing the Big Data database technology for commercial and business purposes.
It is only a matter of time to combine these various analytical and database technologies in computing cloud computing.
In view of the above, the current question is: In which sectors of the economy, in which types of companies and corporations will be the most dynamically developed technologies for analyzing large collections of information in Big Data database systems
Please, answer, comments. I invite you to the discussion.
Are there currently developed risk management instruments and models for obtaining, archiving, analyzing and processing data in Big Data systems?
In recent years, the field of research and business applications in the field of obtaining, archiving, analyzing and processing data in Big Data database systems has been developing strongly.
In many companies, especially in large corporations, integrated risk management systems are built and improved.
Integrated risk management systems combine risk management processes in various areas of a company, institution or other organization.
One of the areas of risk management, the importance of which in many companies is growing, is risk management in the area of ??obtaining, archiving, analyzing and processing data in Big Data database systems.
In view of the above, I am asking you: Are the risk management instruments and models for the acquisition, archiving, analysis and processing of data in Big Data systems already being developed?
Are you already familiar with examples of this type of systems with risk management risk, which concern the acquisition, archiving, analysis and processing of data in Big Data systems?
Please reply
Does the development of data processing technology in Big Data database systems and other technologies developed in the field of technological revolution Industry 4.0 generate new business management concepts?
At present, in the age of the technological revolution known as the 4.0 industry, new technology management or Internet-based companies are emerging.
The technological revolution in recent years, known as Industry 4.0, is motivated by the development of the following factors:
Big Data database technologies, cloud computing, machine learning, Internet of Things, artificial intelligence.
Added to this is the development of data processing analytics in Business Intelligence enterprises, the development of life science technologies, biotechnology, eco-innovation, energy, medical intelligence, etc.
On the basis of the development of the new technological solutions mentioned in recent years, the processes of innovatively organized analyzes of large information collections gathered in Big Data database systems dynamically develop.
In the context of this problem, many questions arise:
What other technological improvements, innovative organizational, technical and IT solutions will be developed in the future based on the development of the above-mentioned factors?
What kinds of innovations will be able to be created in the coming years, in the future based on the integration of the above-mentioned main determinants of the development of the current technological revolution known as Industry 4.0?
What kind of new categories of added value may be created in the future if the above-mentioned technological solutions are more involved in the creation of biotechnological, ecological, product and other innovations.
Will new technologies be created in this way, with the help of which it will be possible to generate solutions to the problems of excessive exploitation of Earth resources in the process of civilization development?
Do business management processes play a particularly important role in the context of the effective functioning of business entities in currently developing economies based on knowledge, information and technology?
Is e-management a new concept of managing virtual enterprises or rather managing online technology companies?
Are new management concepts of innovative enterprises and start-ups based mainly on knowledge, information, entrepreneurship and creation of innovations?
Does the development of data processing technology in Big Data database systems and other technologies developed in the field of technological revolution Industry 4.0 generates the emergence of new business management concepts?
Please reply. I invite you to the discussion
Are you already familiar with the use of Big Data data analysis in the risk management process in corporations and financial institutions?
Large companies, corporations and financial institutions, including banks, are technologically and financially prepared to develop applications for analyzing large data sets collected in Big Data database systems in the process of managing individual categories of banking, financial, including credit, operational, market and IT systems. The main research issue is the study of potential clients, eg potential borrowers in the field of creditworthiness analysis by analyzing data collected in the Big Data database. In the Big Data database system, data on potential clients collected from the Internet from entries, comments, posts contained on social media portals can be collected. If the banks analyze the client's creditworthiness based on sensitive, personal and classified data downloaded from social media portals, then the ethics of this type of analytical process should be considered. This issue of ethics and personal data protection also arises when the insurance company verifies the health of a potential client who submitted an application for life insurance - based on what he writes about himself, he will report his status on social media portals. If the potential client was aware of the fact that he shares personal information with his friends on social media portals only with his friends and the bank, insurance company or other institution uses this secret without using the client's knowledge, then the problem of breaking the basic ethical principles in business arises.
In view of the above, I am asking you the following question: Are you already familiar with the use of Big Data data analysis in the risk management process in corporations and financial institutions?
Please, answer, comments. I invite you to the discussion.
What kind of research dominate in the analysis of data collected in Big Data database systems?
First of all, as part of the processing of information collected in the Big Data database systems, the sentiment analysis is used very frequently during analytical processes conducted for the needs of scientific research. Sentiment analysis allows you to get an answer to the question, what is, for example, recognizability, what is the awareness, opinion on a specific topic among users of specific Internet portals, websites containing comments from Internet users, and social media portals.
I invite you to the discussion
To what extent the Big Data data sentiment analysis from social media portals can be used in forecasting the company's development?
Large amounts of information downloaded from comments, entries, posts from social media portals are processed in Big Data database systems to determine, for example, consumers' awareness of the offer of products and services of specific companies. This type of information is of great importance for the planning of advertising campaigns informing about the mission, idea, product offer, and the usability features of the company's offer. This type of data may be important for forecasting the changing preferences of consumers regarding the offer of specific companies.
In view of the above, I am asking you: To what extent the Big Data data sentiment analysis from social media portals can be used in forecasting the company's development?
Please reply. I invite you to the discussion
The issues of the use of information contained in Big Data database systems for the purposes of conducting Business Intelligence analyzes are described in the publications:
https://www.researchgate.net/publication/323244120_The_Big_Data_technologies_as_an_important_factor_of_electronic_data_processing_and_the_development_of_computerized_analytical_platforms_Business_Intelligence
https://www.researchgate.net/publication/327035102_The_Technological_Solutions_Big_Data_and_the_Importance_of_Business_Analysis_According_to_the_Business_Intelligence_Formula
I invite you to discussion and cooperation. Greetings
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