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3 with X LN1 LN2 EC2. It uses the factors defined in Table 3. 1. LN1 true LN2 false EC2 LN2 LN1 LN1 false LN2 false EC2 false LN1 true LN2 true EC2 true 16 250 0. One way of calculating the factor product of the three factors in Table 3. 1 is the following LN1 EC2 LN2 EC2 LN1 LN2 LN1 LN2 EC2 LN1 LN2 LN1 LN2 EC2. 2 as the sum over the two indicator functions f1 LN2 LN1 LN2 true LN1 false f2 LN2 LN1 LN2 false LN1 true which are multiplied with the weights 1 ln 30 and 2 ln 10 LN2 LN1...
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Go to the social media platform where the author extraction needs to be done.
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Researchers who are studying social media patterns or trends may need author extraction from social media to analyze the content creators.
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Academic researchers or scholars examining online behavior may utilize author extraction to identify key authors or influencers in a specific domain.
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Author extraction from social is a process of identifying and collecting information about individuals or organizations who have contributed content on social media platforms.
Any individual or organization that gathers and uses data from social media platforms for analysis or research purposes may be required to file author extraction.
Author extraction can be filled out by gathering relevant information about the author, including their name, username, bio, content format, date of post, etc.
The purpose of author extraction is to track and attribute content to the original creators on social media platforms for various analytical and research purposes.
The information to be reported on author extraction includes author’s name, username, bio, content format, date of post, post URL, platform, engagement metrics, etc.
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