Sentiment Analysis of Social Media
Sentiment Analysis, NLP, Machine Learning, Deep Learning, Text Classification, BERT, LSTM, Emotion Detection, Social Media Analytics
This studies delves into the software of sentiment
evaluation as a tool for deciphering public opinion
inside the dynamic panorama of social media. The
exponential boom of user-generated content
material throughout platforms like Twitter,
facebook, and Instagram has created a rich
repository of records, offering helpful insights into
societal trends and public perception. This take a
look at pursuits to assess and examine diverse
sentiment analysis methodologies, including
lexicon-primarily based approaches, which
depend on predefined sentiment dictionaries, and
device getting to know techniques, inclusive of
Naive Bayes and assist Vector Machines, which
learn styles from categorized datasets.
furthermore, the paper addresses the inherent
demanding situations associated with reading
social media records, including the superiority of
sarcasm, slang, and contextual ambiguity, which
could considerably impact the accuracy of
sentiment category.
Volume 12
Issue 4,
April-2025
Pages : b177-b180
Paper Reg. ID: TIJER_157034
Published Paper Id: TIJER2504164
Downloads: 000283
Research Area: Science and Technology
Country: Delhi, Delhi, India
ISSN: 2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar | ESTD YEAR: 2014
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: TIJER (IJ Publication) Janvi Wave
