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
The problems of the analysis of information contained on social media portals for marketing purposes are described in the publication:
https://www.researchgate.net/publication/322241537_THE_QUESTION_OF_THE_SECURITY_OF_FACILITATING_COLLECTING_AND_PROCESSING_INFORMATION_IN_DATA_BASES_OF_SOCIAL_NETWORKING
I invite you to discussion and cooperation. Greetings
Dear Dariusz ,
Through Big Data-NLP-Time Series Forecast integration,we can forecast the upcoming quarter and seasonal sales of in any of the domain.Co-relation with end user's comment of social media network can be derived trend-wise analysis of each individual category.
I have just highlighted the main key scopes of Big Data(Social Media) + ML integration. Such more use cases can also be derived from the given integration.
Best regards!
Gourav Gupta
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 topic is important so I invite you to continue the discussion.
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 problems of the analysis of information contained on social media portals for marketing purposes are described in the publication:
https://www.researchgate.net/publication/322241537_THE_QUESTION_OF_THE_SECURITY_OF_FACILITATING_COLLECTING_AND_PROCESSING_INFORMATION_IN_DATA_BASES_OF_SOCIAL_NETWORKING
I invite you to discussion and cooperation. Greetings
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.
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