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Facebook User Account Data Analysis using NLP on A Specific dataset Selection Model

Authors: NZENWATA Uchenna

Publication Type: Journal article

Journal: International Journal Of Computer And Information Technology

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Abstract

As one sits upon a social web tool like Facebook,
virtually all the activities carried out is saved for the sole
purpose of monitoring the trend of users’ activities. The saved
trends are often collated as big data for future analysis. These
data are gathered as individual dataset which constitutes an
ample size of global social web datasets, often used in machine
learning techniques. In this study NLP Specific dataset Selection
Model was developed, which uses natural language processing
tools to analyze the personal data ever produced by a specific
Facebook account from the point of account creation to the
point the dataset was extracted was developed. This helps to
gain insights about the vocabulary changes of a Facebook user
over time. The result presented basic statistics on frequency of
word usage and also present the shift in vocabulary usage
overtime

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NZENWATA,U. . (2019). Facebook User Account Data Analysis using NLP on A Specific dataset Selection Model, 8 (), 73-73.

NZENWATA,U. . "Facebook User Account Data Analysis using NLP on A Specific dataset Selection Model" 8, no (), (2019): 73-73.

NZENWATA,U. and . (2019). Facebook User Account Data Analysis using NLP on A Specific dataset Selection Model, 8 (), pp73-73.

NZENWATAU, . Facebook User Account Data Analysis using NLP on A Specific dataset Selection Model. 2019, 8 ():73-73.

NZENWATA,Uchenna , . "Facebook User Account Data Analysis using NLP on A Specific dataset Selection Model", 8 . (2019) : 73-73.

N.Uchenna , "Facebook User Account Data Analysis using NLP on A Specific dataset Selection Model" vol.8, no., pp. 73-73, 2019.

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