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Social media platforms are one of the main generators of textual
data where people around the world share their daily life
experiences and information with online society. The social,
personal, and professional lives of people on these social
networking sites generate not only a huge amount of data but also
open doors for researchers and academicians with numerous research
opportunities. This ample amount of data needs advanced machine
learning, deep learning, and intelligent tools and techniques to
receive, process, and interpret the information to resolve
real-life challenges and improve the online social lives of people.
Advanced Applications of NLP and Deep Learning in Social Media Data
bridges the gap between natural language processing (NLP), advanced
machine learning, deep learning, and online social media. It hopes
to build a better and safer social media space by making human
language available on different social media platforms intelligible
for machines with the blessings of AI. Covering topics such as
machine learning-based prediction, emotion recognition, and
high-dimensional text clustering, this premier reference source is
an essential resource for OSN service providers, psychiatrists,
psychologists, clinicians, sociologists, students and educators of
higher education, librarians, researchers, and academicians.
Social media platforms are one of the main generators of textual
data where people around the world share their daily life
experiences and information with online society. The social,
personal, and professional lives of people on these social
networking sites generate not only a huge amount of data but also
open doors for researchers and academicians with numerous research
opportunities. This ample amount of data needs advanced machine
learning, deep learning, and intelligent tools and techniques to
receive, process, and interpret the information to resolve
real-life challenges and improve the online social lives of people.
Advanced Applications of NLP and Deep Learning in Social Media Data
bridges the gap between natural language processing (NLP), advanced
machine learning, deep learning, and online social media. It hopes
to build a better and safer social media space by making human
language available on different social media platforms intelligible
for machines with the blessings of AI. Covering topics such as
machine learning-based prediction, emotion recognition, and
high-dimensional text clustering, this premier reference source is
an essential resource for OSN service providers, psychiatrists,
psychologists, clinicians, sociologists, students and educators of
higher education, librarians, researchers, and academicians.
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